| Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning. L Pan, W Yanbang, W Hongwei, L Jure Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 342* | 2020 |
| Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks Y Wang, YY Chang, YY Liu, J Leskovec, P Li International Conference on Learning Representations (ICLR 2021), 2021 | 226 | 2021 |
| EmotionCues: Emotion-Oriented Visual Summarization of Classroom Videos Z Haipeng, S Xinhuan, W Yanbang, W Yong, Z Liguo, P Ting-Chuen, ... IEEE Transactions on Visualization and Computer Graphics, 2020 | 83 | 2020 |
| Algorithm and system co-design for efficient subgraph-based graph representation learning H Yin, M Zhang, Y Wang, J Wang, P Li Proceedings of the VLDB Endowment (VLDB 2022), 2022 | 40 | 2022 |
| TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks Y Wang, P Li, C Bai, J Leskovec Proceedings of the Web Conference 2021 (WWW 2021), 2021 | 32 | 2021 |
| Transfer Learning Using Representation Learning in Massive Open Online Courses M Ding, Y Wang, E Hemberg, UM O'Reilly Proceedings of the 9th International Conference on Learning Analytics …, 2019 | 26 | 2019 |
| Generic Representation Learning for Dynamic Social Interaction Y Wang, P Li, C Bai, VS Subrahmanian, J Leskovec ACM SIGKDD International Conference on Knowledge Discovery and Data Mining …, 2020 | 12 | 2020 |
| Using Detailed Access Trajectories for Learning Behavior Analysis Y Wang, N Law, E Hemberg, UMO Reilly Proceedings of 2019 International Conference on Learning Analytics & Knowledge, 2019 | 12 | 2019 |
| Revisiting Graph Neural Networks and Distance Encoding in a Practical View H Yin, Y Wang, P Li Proceedings of the 35th AAAI Conference on Artificial Intelligence DLG Workshop., 2020 | 8 | 2020 |
| From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction Y Wang, J Kleinberg International Conference on Learning Representations (ICLR 2024), 2024 | 6* | 2024 |
| Microstructures and Accuracy of Graph Recall by Large Language Models Y Wang, H Cui, J Kleinberg arXiv preprint arXiv:2402.11821, 2024 | 1 | 2024 |
| On the Relationship Between Relevance and Conflict in Online Social Link Recommendations Y Wang, J Kleinberg Advances in Neural Information Process Processing Systems (NeurIPS 2023), 2023 | 1 | 2023 |
| A Graph-based Framework for Reducing False Positives in Authentication Alerts in Security Systems Y Wang, K Hallgren, J Larson Proceedings of the Web Conference 2024 (WWW 2024), 2024 | | 2024 |
Jure LeskovecProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
