Conference on Web Search and Data Mining (2020)
Workshops
- Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020 11 papers
- Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop, co-located with the 13th ACM International WSDM Conference, HSDM@WSDM 2020, Houston, TX, USA, February 3, 2020 9 papers
Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020
Preserving Privacy in Analyses of Textual Data
Tom Diethe
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Oluwaseyi Feyisetan
Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It?
Patricia Thaine
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Gerald Penn
Calibrating Mechanisms for Privacy Preserving Text Analysis
Oluwaseyi Feyisetan
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Borja Balle
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Tom Diethe
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Thomas Drake
Privacy-Aware Personalized Entity Representations for Improved User Understanding
Levi Melnick
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Hussein Elmessilhy
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Vassilis Polychronopoulos
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Gilsinia Lopez
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Yuancheng Tu
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Omar Zia Khan
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Ye-Yi Wang
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Chris Quirk
A User-Centric and Sentiment Aware Privacy-Disclosure Detection Framework based on Multi-input Neural Network
A. K. M. Nuhil Mehdy
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Hoda Mehrpouyan
Classification of Encrypted Word Embeddings using Recurrent Neural Networks
Robert Podschwadt
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Daniel Takabi
Is It Possible to Preserve Privacy in the Age of AI?
Vijayanta Jain
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Sepideh Ghanavati
Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It?
Patricia Thaine
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Gerald Penn
Hyperbolic Embeddings for Preserving Privacy and Utility in Text
Oluwaseyi Feyisetan
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Tom Diethe
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Thomas Drake
Privacy-Preserving Textual Analysis via Calibrated Perturbations
Oluwaseyi Feyisetan
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Borja Balle
Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop, co-located with the 13th ACM International WSDM Conference, HSDM@WSDM 2020, Houston, TX, USA, February 3, 2020
Machine Learning for Healthcare: Beyond i.i.d. Prediction
Zachary C. Lipton
Applying Information Retrieval to the Electronic Health Record for Cohort Discovery and Rare Disease Detection
William R. Hersh
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Jan Trienes
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Dolf Trieschnigg
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Christin Seifert
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Djoerd Hiemstra
Healthcare NER Models Using Language Model Pretraining
Amogh Kamat Tarcar
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Aashis Tiwari
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Dattaraj Rao
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Vineet Naique Dhaimodker
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Penjo Rebelo
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Rahul Desai
Lung Nodule Classification Using Convolutional Autoencoder and Clustering Augmented Learning Method(CALM)
Soumya Suvra Ghosal
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Indranil Sarkar
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Issmail El Hallaoui
A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data
Steve Chamberlin
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Steven Bedrick
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Aaron M. Cohen
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Yanshan Wang
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Andrew Wen
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Sijia Liu
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Hongfang Liu
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William R. Hersh
Streaming Gait Assessment for Parkinson's Disease
Cristopher Flagg
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Ophir Frieder
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Sean MacAvaney
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Gholam Motamedi
Clustering Large-scale Diverse Electronic Medical Records to Aid Annotation for Generic Named Entity Recognition
Nithin Haridas
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Yubin Kim
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020
From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation
Ed H. Chi
Computer Vision for Fashion: From Individual Recommendations to World-wide Trends
Kristen Grauman
Can Deep Learning Only Be Neural Networks?
Zhi-Hua Zhou
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms
Aman Ahuja
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Nikhil Rao
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Sumeet Katariya
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Karthik Subbian
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Chandan K. Reddy
Recurrent Attention Walk for Semi-supervised Classification
Uchenna Akujuobi
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Qiannan Zhang
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Yufei Han
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Xiangliang Zhang
Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding
Sambaran Bandyopadhyay
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Lokesh N
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Saley Vishal Vivek
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M. Narasimha Murty
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
Ghazaleh Beigi
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Ahmadreza Mosallanezhad
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Ruocheng Guo
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Hamidreza Alvari
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Alexander Nou
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Huan Liu
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding
Ayan Kumar Bhowmick
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Koushik Meneni
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Maximilien Danisch
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Jean-Loup Guillaume
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Bivas Mitra
Comparative Web Search Questions
Alexander Bondarenko
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Pavel Braslavski
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Michael Völske
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Rami Aly
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Maik Fröbe
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Alexander Panchenko
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Chris Biemann
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Benno Stein
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Matthias Hagen
A Stochastic Treatment of Learning to Rank Scoring Functions
Sebastian Bruch
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Shuguang Han
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Michael Bendersky
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Marc Najork
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Qi Cao
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Huawei Shen
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Jinhua Gao
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Bingzheng Wei
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Xueqi Cheng
Why Do People Buy Seemingly Irrelevant Items in Voice Product Search?: On the Relation between Product Relevance and Customer Satisfaction in eCommerce
David Carmel
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Elad Haramaty
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Arnon Lazerson
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Liane Lewin-Eytan
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Yoelle Maarek
A Context-Aware Click Model for Web Search
Jia Chen
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Jiaxin Mao
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Yiqun Liu
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Min Zhang
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Shaoping Ma
Parameter Tuning in Personal Search Systems
Suming J. Chen
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Xuanhui Wang
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Zhen Qin
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Donald Metzler
Context-aware Deep Model for Joint Mobility and Time Prediction
Yile Chen
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Cheng Long
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Gao Cong
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Chenliang Li
Analyzing the Impact of Filter Bubbles on Social Network Polarization
Uthsav Chitra
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Christopher Musco
ENTYFI: Entity Typing in Fictional Texts
Cuong Xuan Chu
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Simon Razniewski
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Gerhard Weikum
Joint Recognition of Names and Publications in Academic Homepages
Yimeng Dai
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Jianzhong Qi
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Rui Zhang
Can A User Guess What Her Followers Want?
Abir De
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Adish Singla
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Utkarsh Upadhyay
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Manuel Gomez-Rodriguez
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
Shumin Deng
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Ningyu Zhang
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Jiaojian Kang
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Yichi Zhang
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Wei Zhang
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Huajun Chen
Epidemic Graph Convolutional Network
Tyler Derr
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Yao Ma
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Wenqi Fan
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Xiaorui Liu
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Charu C. Aggarwal
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Jiliang Tang
All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs
Negin Entezari
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Saba A. Al-Sayouri
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Amirali Darvishzadeh
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Evangelos E. Papalexakis
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations
Oluwaseyi Feyisetan
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Borja Balle
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Thomas Drake
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Tom Diethe
Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering
Jinlan Fu
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Yi Li
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Qi Zhang
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Qinzhuo Wu
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Renfeng Ma
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Xuanjing Huang
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Yu-Gang Jiang
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
Azin Ghazimatin
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Oana Balalau
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Rishiraj Saha Roy
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Gerhard Weikum
JNET: Learning User Representations via Joint Network Embedding and Topic Embedding
Lin Gong
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Lu Lin
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Weihao Song
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Hongning Wang
TSA: A Truthful Mechanism for Social Advertising
Tobias Grubenmann
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Reynold C. K. Cheng
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Laks V. S. Lakshmanan
Hierarchical User Profiling for E-commerce Recommender Systems
Yulong Gu
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Zhuoye Ding
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Shuaiqiang Wang
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Dawei Yin
Learning Individual Causal Effects from Networked Observational Data
Ruocheng Guo
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Jundong Li
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Huan Liu
Crowd Worker Strategies in Relevance Judgment Tasks
Lei Han
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Eddy Maddalena
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Alessandro Checco
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Cristina Sarasua
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Ujwal Gadiraju
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Kevin Roitero
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Gianluca Demartini
Consistency-Aware Recommendation for User-Generated Item List Continuation
Yun He
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Yin Zhang
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Weiwen Liu
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James Caverlee
Debiasing Word Embeddings from Sentiment Associations in Names
Christoph Hube
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Maximilian Idahl
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Besnik Fetahu
The Power of Pivoting for Exact Clique Counting
Shweta Jain
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C. Seshadhri
Ultra Fine-Grained Image Semantic Embedding
Da-Cheng Juan
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Chun-Ta Lu
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Zhen Li
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Futang Peng
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Aleksei Timofeev
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Yi-Ting Chen
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Yaxi Gao
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Tom Duerig
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Andrew Tomkins
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Sujith Ravi
Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models
Quyu Kong
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Marian-Andrei Rizoiu
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Lexing Xie
Retrieving Top Weighted Triangles in Graphs
Raunak Kumar
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Paul Liu
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Moses Charikar
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Austin R. Benson
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems
Wenqiang Lei
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Xiangnan He
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Yisong Miao
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Qingyun Wu
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Richang Hong
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Min-Yen Kan
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Tat-Seng Chua
Interpretable Click-Through Rate Prediction through Hierarchical Attention
Zeyu Li
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Wei Cheng
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Yang Chen
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Haifeng Chen
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Wei Wang
Time Interval Aware Self-Attention for Sequential Recommendation
Jiacheng Li
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Yujie Wang
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Julian J. McAuley
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
Pan Li
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Alexander Tuzhilin
Automatic Speaker Recognition with Limited Data
Ruirui Li
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Jyun-Yu Jiang
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Jiahao Liu
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Chu-Cheng Hsieh
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Wei Wang
Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks
Ruirui Li
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Xian Wu
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Wei Wang
Incremental Filter Pruning via Random Walk for Accelerating Deep Convolutional Neural Networks
Qinghua Li
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Cuiping Li
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Hong Chen
Initialization for Network Embedding: A Graph Partition Approach
Wenqing Lin
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Feng He
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Faqiang Zhang
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Xu Cheng
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Hongyun Cai
Balanced Influence Maximization in Attributed Social Network Based on Sampling
Mingkai Lin
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Wenzhong Li
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Sanglu Lu
End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding
Feng Liu
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Huifeng Guo
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Xutao Li
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Ruiming Tang
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Yunming Ye
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Xiuqiang He
Deep Multi-Graph Clustering via Attentive Cross-Graph Association
Dongsheng Luo
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Jingchao Ni
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Suhang Wang
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Yuchen Bian
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Xiong Yu
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Xiang Zhang
Jointly Optimized Neural Coreference Resolution with Mutual Attention
Jie Ma
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Jun Liu
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Yufei Li
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Xin Hu
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Yudai Pan
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Shen Sun
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Qika Lin
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification
Qianwen Ma
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Chunyuan Yuan
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Wei Zhou
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Jizhong Han
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Songlin Hu
MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph
Xin Mao
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Wenting Wang
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Huimin Xu
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Man Lan
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Yuanbin Wu
Separate and Attend in Personal Email Search
Yu Meng
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Maryam Karimzadehgan
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Honglei Zhuang
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Donald Metzler
Predicting Human Mobility via Attentive Convolutional Network
Congcong Miao
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Ziyan Luo
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Fengzhu Zeng
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Jilong Wang
Efficiently Counting Vertex Orbits of All 5-vertex Subgraphs, by EVOKE
Noujan Pashanasangi
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C. Seshadhri
Extreme Regression for Dynamic Search Advertising
Yashoteja Prabhu
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Aditya Kusupati
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Nilesh Gupta
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Manik Varma
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
Jiarui Qin
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Kan Ren
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Yuchen Fang
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Weinan Zhang
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Yong Yu
Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision
Yunqi Qiu
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Yuanzhuo Wang
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Xiaolong Jin
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Kun Zhang
A Structural Graph Representation Learning Framework
Ryan A. Rossi
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Nesreen K. Ahmed
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Eunyee Koh
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Sungchul Kim
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Anup Rao
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Yasin Abbasi-Yadkori
Toward Activity Discovery in the Personal Web
Tara Safavi
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Adam Fourney
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Robert Sim
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Marcin Juraszek
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Shane Williams
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Ned Friend
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Danai Koutra
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Paul N. Bennett
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
Yuta Saito
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Suguru Yaginuma
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Yuta Nishino
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Hayato Sakata
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Kazuhide Nakata
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Aravind Sankar
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Xinyang Zhang
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Adit Krishnan
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Jiawei Han
DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
Aravind Sankar
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Yanhong Wu
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Liang Gou
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Wei Zhang
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Hao Yang
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
Ilya Shenbin
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Anton Alekseev
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Elena Tutubalina
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Valentin Malykh
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Sergey I. Nikolenko
Text Recognition Using Anonymous CAPTCHA Answers
Alexander Shishkin
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Anastasia A. Bezzubtseva
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Valentina Fedorova
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Alexey Drutsa
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Gleb Gusev
Ad Close Mitigation for Improved User Experience in Native Advertisements
Natalia Silberstein
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Oren Somekh
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Yair Koren
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Michal Aharon
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Dror Porat
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Avi Shahar
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Tingyi Wu
ADMM SLIM: Sparse Recommendations for Many Users
Harald Steck
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Maria Dimakopoulou
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Nickolai Riabov
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Tony Jebara
Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension
Lixin Su
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Jiafeng Guo
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Yixing Fan
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Yanyan Lan
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Xueqi Cheng
Influence Maximization with Spontaneous User Adoption
Lichao Sun
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Albert Chen
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Philip S. Yu
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Wei Chen
LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation
Changfeng Sun
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Han Liu
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Meng Liu
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Zhaochun Ren
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Tian Gan
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Liqiang Nie
Fast Item Ranking under Neural Network based Measures
Shulong Tan
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Zhixin Zhou
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Zhaozhuo Xu
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Ping Li
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Xianfeng Tang
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Yandong Li
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Yiwei Sun
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Huaxiu Yao
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Prasenjit Mitra
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Suhang Wang
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Lucas Vinh Tran
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Yi Tay
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Shuai Zhang
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Gao Cong
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Xiaoli Li
Addressing Marketing Bias in Product Recommendations
Mengting Wan
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Jianmo Ni
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Rishabh Misra
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Julian J. McAuley
User Recommendation in Content Curation Platforms
Jianling Wang
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Ziwei Zhu
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James Caverlee
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion
Jianling Wang
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Kaize Ding
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Ziwei Zhu
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Yin Zhang
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James Caverlee
Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce
Jianling Wang
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Raphael Louca
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Diane Hu
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Caitlin Cellier
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James Caverlee
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Liangjie Hong
Metrics, User Models, and Satisfaction
Alfan Farizki Wicaksono
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Alistair Moffat
PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems
Zhiyong Wu
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Ben Kao
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Tien-Hsuan Wu
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Pengcheng Yin
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Qun Liu
Product Knowledge Graph Embedding for E-commerce
Da Xu
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Chuanwei Ruan
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Evren Körpeoglu
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Sushant Kumar
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Kannan Achan
Knowledge-aware Complementary Product Representation Learning
Da Xu
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Chuanwei Ruan
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Jason H. D. Cho
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Evren Körpeoglu
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Sushant Kumar
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Kannan Achan
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System
Ze Yang
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Linjun Shou
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Ming Gong
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Wutao Lin
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Daxin Jiang
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders
Carl Yang
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Jieyu Zhang
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Haonan Wang
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Sha Li
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Myunghwan Kim
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Matt Walker
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Yiou Xiao
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Jiawei Han
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference
Jaemin Yoo
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U Kang
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Mauro Scanagatta
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Giorgio Corani
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Marco Zaffalon
Learning a Joint Search and Recommendation Model from User-Item Interactions
Hamed Zamani
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W. Bruce Croft
Nearly Linear Time Algorithm for Mean Hitting Times of Random Walks on a Graph
Zuobai Zhang
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Wanyue Xu
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Zhongzhi Zhang
Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
Yuan Zhang
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Xiaoran Xu
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Hanning Zhou
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Yan Zhang
AutoBlock: A Hands-off Blocking Framework for Entity Matching
Wei Zhang
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Hao Wei
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Bunyamin Sisman
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Xin Luna Dong
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Christos Faloutsos
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David Page
Temporal Context-Aware Representation Learning for Question Routing
Xuchao Zhang
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Wei Cheng
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Bo Zong
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Yuncong Chen
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Jianwu Xu
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Ding Li
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Haifeng Chen
Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations
Xing Zhao
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Ziwei Zhu
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Yin Zhang
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James Caverlee
Investigating Examination Behavior in Mobile Search
Yukun Zheng
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Jiaxin Mao
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Yiqun Liu
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Mark Sanderson
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Min Zhang
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Shaoping Ma
GREASE: A Generative Model for Relevance Search over Knowledge Graphs
Tianshuo Zhou
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Ziyang Li
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Gong Cheng
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Jun Wang
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Yuang Wei
Enhancing Re-finding Behavior with External Memories for Personalized Search
Yujia Zhou
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Zhicheng Dou
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Ji-Rong Wen
Listwise Learning to Rank by Exploring Unique Ratings
Xiaofeng Zhu
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Diego Klabjan
Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation
Nengjun Zhu
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Jian Cao
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Yanchi Liu
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Yang Yang
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Haochao Ying
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Hui Xiong
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation
Lixin Zou
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Long Xia
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Pan Du
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Zhuo Zhang
|
Ting Bai
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Weidong Liu
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Jian-Yun Nie
|
Dawei Yin
personality2vec: Enabling the Analysis of Behavioral Disorders in Social Networks
Amin Beheshti
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Vahid Moraveji Hashemi
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Shahpar Yakhchi
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Hamid Reza Motahari-Nezhad
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Seyed Mohssen Ghafari
|
Jian Yang
FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages
Ankush Chatterjee
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Manish Gupta
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Puneet Agrawal
Entities with Quantities: Extraction, Search, and Ranking
Vinh Thinh Ho
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Koninika Pal
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Niko Kleer
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Klaus Berberich
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Gerhard Weikum
WebShapes: Network Visualization with 3D Shapes
Shengmin Jin
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Richard Wituszynski
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Max Caiello-Gingold
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Reza Zafarani
Athena: A Ranking Enabled Scholarly Search System
Junfeng Liu
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Shuai Ma
|
Renjun Hu
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Chunming Hu
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Jinpeng Huai
OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline
Sean MacAvaney
Illustrate Your Story: Enriching Text with Images
Sreyasi Nag Chowdhury
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William Cheng
|
Gerard de Melo
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Simon Razniewski
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Gerhard Weikum
SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports
Armineh Nourbakhsh
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Mohammad M. Ghassemi
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Steven Pomerville
VISION-KG: Topic-centric Visualization System for Summarizing Knowledge Graph
Jiaqi Wei
|
Shuo Han
|
Lei Zou
Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval
Andrew Yates
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Siddhant Arora
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Xinyu Zhang
|
Wei Yang
|
Kevin Martin Jose
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Jimmy Lin
Deep Bayesian Data Mining
Jen-Tzung Chien
Adversarial Machine Learning in Recommender Systems (AML-RecSys)
Yashar Deldjoo
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Tommaso Di Noia
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Felice Antonio Merra
Practice of Efficient Data Collection via Crowdsourcing: Aggregation, Incremental Relabelling, and Pricing
Alexey Drutsa
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Valentina Fedorova
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Dmitry Ustalov
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Olga Megorskaya
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Evfrosiniya Zerminova
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Daria Baidakova
Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments
Somit Gupta
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Xiaolin Shi
|
Pavel A. Dmitriev
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Xin Fu
|
Avijit Mukherjee
Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means
Boris Kovalerchuk
Learning with Small Data
Zhenhui Li
|
Huaxiu Yao
|
Fenglong Ma
Web-scale Knowledge Collection
Colin Lockard
|
Prashant Shiralkar
|
Xin Luna Dong
|
Hannaneh Hajishirzi
Learning and Reasoning on Graph for Recommendation
Xiang Wang
|
Xiangnan He
|
Tat-Seng Chua
Deep Learning for Anomaly Detection
Ruoying Wang
|
Kexin Nie
|
Tie Wang
|
Yang Yang
|
Bo Long
ConvERSe'20: The WSDM 2020 Workshop on Conversational Systems for E-Commerce Recommendations and Search
Eugene Agichtein
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Dilek Hakkani-Tür
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Surya Kallumadi
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Shervin Malmasi
SUM'20: State-based User Modelling
Sahan Bulathwela
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María Pérez-Ortiz
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Rishabh Mehrotra
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Davor Orlic
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Colin de la Higuera
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John Shawe-Taylor
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Emine Yilmaz
Overview of the Health Search and Data Mining (HSDM 2020) Workshop
Carsten Eickhoff
|
Yubin Kim
|
Ryen W. White
Workshop on Privacy in NLP (PrivateNLP 2020)
Oluwaseyi Feyisetan
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Sepideh Ghanavati
|
Patricia Thaine
Integrity 2020: Integrity in Social Networks and Media
Lluis Garcia Pueyo
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Anand Bhaskar
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Panayiotis Tsaparas
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Aristides Gionis
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Tina Eliassi-Rad
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Maria Daltayanni
|
Yu Sun
|
Panagiotis Papadimitriou
NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations
Pengjie Ren
|
Zhaochun Ren
|
Fei Sun
|
Xiangnan He
|
Dawei Yin
|
Maarten de Rijke
Impact of Online Job Search and Job Reviews on Job Decision
Faiz Ahamad
User Intent Inference for Web Search and Conversational Agents
Ali Ahmadvand
Temporal Pattern of Retweet(s) Help to Maximize Information Diffusion in Twitter
Ayan Kumar Bhowmick
Beyond Sessions: Exploiting Hybrid Contextual Information for Web Search
Jia Chen
Network Analysis with Negative Links
Tyler Derr
Decision Boundary of Deep Neural Networks: Challenges and Opportunities
Hamid Karimi
|
Jiliang Tang
Think like a Human: Constructing Cognitive-oriented Retrieval Model for Web Search
Xiangsheng Li
Hybrid Utility Function for Unexpected Recommendations
Pan Li
Overlapping Community Detection in Static and Dynamic Networks
Renny Márquez
Learning from Heterogeneous Networks: Methods and Applications
Chuxu Zhang