Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning Y Jiao, Y Xiong, J Zhang, Y Zhang, T Zhang, Y Zhu 20th IEEE International Conference on Data Mining, 2020 | 152 | 2020 |
How Powerful is Graph Convolution for Recommendation? Y Shen, Y Wu, Y Zhang, C Shan, J Zhang, BK Letaief, D Li The 30th ACM International Conference on Information and Knowledge Management, 2021 | 66 | 2021 |
SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks Y Zhang, Y Xiong, Y Ye, T Liu, W Wang, Y Zhu, PS Yu 26TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2020 | 65 | 2020 |
Learning node embeddings in interaction graphs Y Zhang, Y Xiong, X Kong, Y Zhu Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 59 | 2017 |
Reinforcement Learning Enhanced Explainer for Graph Neural Networks C Shan, Y Shen, Y Zhang, X Li, D Li 2021 Conference on Neural Information Processing Systems, 2021 | 45 | 2021 |
CommDGI: community detection oriented deep graph infomax T Zhang, Y Xiong, J Zhang, Y Zhang, Y Jiao, Y Zhu Proceedings of the 29th ACM international conference on information …, 2020 | 44 | 2020 |
Dyngraphgan: Dynamic graph embedding via generative adversarial networks Y Xiong, Y Zhang, H Fu, W Wang, Y Zhu, PS Yu Database Systems for Advanced Applications: 24th International Conference …, 2019 | 34 | 2019 |
CLARE: A Semi-supervised Community Detection Algorithm X Wu, Y Xiong, Y Zhang, Y Jiao, C Shan, Y Sun, Y Zhu, PS Yu SIGKDD, 2022 | 24 | 2022 |
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph Y Zhang, Y Xiong, C Shan, K Ren, D Li, Y Zhu The 30th ACM International Conference on Information and Knowledge Management, 2021 | 22 | 2021 |
Triangle Graph Interest Network for Click-through Rate Prediction W Jiang, Y Jiao, Q Wang, C Liang, L Guo, Y Zhang, Z Sun, Y Xiong, Y Zhu The Fifteenth International Conference on Web Search and Data Mining, 2022 | 12 | 2022 |
Few-shot Radiology Report Generation for Rare Diseases X Jia, Y Xiong, J Zhang, Y Zhang, Y Zhu IEEE BIBM 2020, 2020 | 12 | 2020 |
ConsRec: Learning Consensus Behind Interactions for Group Recommendation X Wu, Y Xiong, Y Zhang, Y Jiao, J Zhang, Y Zhu, PS Yu WWW, 2023 | 10 | 2023 |
Bicycle: Item recommendation with life cycles X Liu, Y Song, C Aggarwal, Y Zhang, X Kong 2017 IEEE International Conference on Data Mining (ICDM), 297-306, 2017 | 10 | 2017 |
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation Q Wang, Y Xiong, Y Zhang, J Zhang, Y Zhu The 14th ACM International WSDM Conference, 2021 | 9 | 2021 |
IGE+: A Framework for Learning Node Embeddings in Interaction Graphs Y Zhang, Y Xiong, X Kong, Z Niu, Y Zhu IEEE Transactions on Knowledge and Data Engineering 33 (3), 1032--1044, 2021 | 9 | 2021 |
TIGER: Temporal Interaction Graph Embedding with Restarts Y Zhang, Y Xiong, Y Liao, Y Sun, Y Jin, X Zheng, Y Zhu WWW, 2023 | 8 | 2023 |
Radiology Report Generation for Rare Diseases via Few-shot Transformer X Jia, Y Xiong, J Zhang, Y Zhang, B Suzanne, Y Zhu, C Tang BIBM, 2021 | 7 | 2021 |
HSGMP: Heterogeneous Scene Graph Message Passing for Cross-modal Retrieval Y Duan, Y Xiong, Y Zhang, Y Fu, Y Zhu ACM International Conference on Multimedia Retrieval, 2021 | 7 | 2021 |
Explaining Temporal Graph Models through an Explorer-Navigator Framework W Xia, M Lai, C Shan, Y Zhang, X Dai, X Li, D Li ICLR 2023, 2023 | 5 | 2023 |
Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification H Niu, Y Xiong, J Gao, Z Miao, X Wang, H Ren, Y Zhang, Y Zhu Proceedings of the 29th International Conference on Computational …, 2022 | 4 | 2022 |