2022

doi dblp
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation
Yankai Chen | Menglin Yang | Yingxue Zhang | Mengchen Zhao | Ziqiao Meng | Jianye Hao | Irwin King
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

doi dblp
EFLEC: Efficient Feature-LEakage Correction in GNN based Recommendation Systems
Ishaan Kumar | Yaochen Hu | Yingxue Zhang
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

doi dblp
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation
Haolun Wu | Chen Ma | Yingxue Zhang | Xue Liu | Ruiming Tang | Mark Coates
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction
Fuyuan Lyu | Xing Tang | Hong Zhu | Huifeng Guo | Yingxue Zhang | Ruiming Tang | Xue Liu
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp
Polarized Graph Neural Networks
Zheng Fang | Lingjun Xu | Guojie Song | Qingqing Long | Yingxue Zhang
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

doi dblp
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
Jiapeng Wu | Yishi Xu | Yingxue Zhang | Chen Ma | Mark Coates | Jackie Chi Kit Cheung
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

doi dblp
Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems
Yuening Wang | Yingxue Zhang | Mark Coates
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
Graph Representation Learning via Adversarial Variational Bayes
Yunhe Li | Yaochen Hu | Yingxue Zhang
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems
Kian Ahrabian | Yishi Xu | Yingxue Zhang | Jiapeng Wu | Yuening Wang | Mark Coates
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

2020

doi dblp
Neighbor Interaction Aware Graph Convolution Networks for Recommendation
Jianing Sun | Yingxue Zhang | Wei Guo | Huifeng Guo | Ruiming Tang | Xiuqiang He | Chen Ma | Mark Coates
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

doi dblp
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
Yishi Xu | Yingxue Zhang | Wei Guo | Huifeng Guo | Ruiming Tang | Mark Coates
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

2018

doi dblp
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
Chen Ma | Yingxue Zhang | Qinglong Wang | Xue Liu
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018