Dawei Zhou

2025

doi dblp
Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks.
Lihui Liu|Zihao Wang|Dawei Zhou|Ruijie Wang|Yuchen Yan|Bo Xiong|Sihong He|Hanghang Tong
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
doi dblp
Bridging Fairness and Uncertainty: Theoretical Insights and Practical Strategies for Equalized Coverage in GNNs.
Longfeng Wu|Yao Zhou|Jian Kang|Dawei Zhou
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
doi dblp
Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation.
Lifu Huang|Danai Koutra|Adithya Kulkarni|Temiloluwa Prioleau|Qingyun Wu|Yujun Yan|Yaoqing Yang|James Zou|Dawei Zhou
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

doi dblp
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.
Baoyu Jing|Dawei Zhou|Kan Ren|Carl Yang
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
TrustLOG: The Second Workshop on Trustworthy Learning on Graphs.
Jingrui He|Jian Kang|Fatemeh Nargesian|Haohui Wang|An Zhang|Dawei Zhou
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

doi dblp
Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs.
Dongqi Fu|Dawei Zhou|Ross Maciejewski|Arie Croitoru|Marcus Boyd|Jingrui He
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

doi dblp
TrustLOG: The First Workshop on Trustworthy Learning on Graphs.
Jian Kang|Shuaicheng Zhang|Bo Li|Jingrui He|Jian Pei|Dawei Zhou
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
MentorGNN: Deriving Curriculum for Pre-Training GNNs.
Dawei Zhou|Lecheng Zheng|Dongqi Fu|Jiawei Han|Jingrui He
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

2020

doi dblp
Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting.
Dawei Zhou|Lecheng Zheng|Yada Zhu|Jianbo Li|Jingrui He
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

doi dblp
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks.
Zhining Liu|Dawei Zhou|Jingrui He
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.