When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
- Lin Junhong
- Xiaojie Guo
- et al.
- 2025
- KDD 2025
Conference paper
Publications
47 results for Yada Zhu
ADVERSARIAL ATTACKS ON FAIRNESS OF GRAPH NEURAL NETWORKS
- Binchi Zhang
- Yushun Dong
- et al.
- 2024
- ICLR 2024
Conference paperNEURAL ACTIVE LEARNING BEYOND BANDITS
- Yikun Ban
- Ishika Agarwal
- et al.
- 2024
- ICLR 2024
Conference paperSTERLING: Synergistic Representation Learning on Bipartite Graphs
- Baoyu Jing
- Yuchen Yan
- et al.
- 2024
- AAAI 2024
Conference paperArieL: Adversarial Graph Contrastive Learning
- Shengyu Feng
- Baoyu Jing
- et al.
- 2024
- ACM TKDD
PaperNetworked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
- Dingsu Wang
- Yuchen Yan
- et al.
- 2023
- KDD 2023
Conference paperStock Price Volatility Prediction: A Case Study with AutoML
- Hilal Pataci
- Yannis Katsis
- et al.
- 2022
- FinNLP 2022
Conference paperKnowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series
- Shibal Ibrahim
- Wenyu Chen
- et al.
- 2022
- ICAIF 2022
Conference paperCost-Efficient Reinforcement Learning for Optimal Trade Execution on Dynamic Market Environment
- Di Chen
- Yada Zhu
- et al.
- 2022
- ICAIF 2022
Conference paperContrastive Learning with Complex Heterogeneity
- Lecheng Zheng
- Jinjun Xiong
- et al.
- 2022
- KDD 2022
Conference paper