| SDG: A Simplified and Dynamic Graph Neural Network D Fu, J He Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 57 | 2021 |
| Local Motif Clustering on Time-Evolving Graphs D Fu, D Zhou, J He Proceedings of the 26th ACM SIGKDD International conference on knowledge …, 2020 | 51 | 2020 |
| A View-Adversarial Framework for Multi-View Network Embedding D Fu, Z Xu, B Li, H Tong, J He Proceedings of the 29th ACM International Conference on Information …, 2020 | 35 | 2020 |
| DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data D Fu, J He 2022 IEEE International Conference on Big Data (Big Data), 5269-5277, 2022 | 32 | 2022 |
| Meta-Learned Metrics over Multi-Evolution Temporal Graphs D Fu, L Fang, R Maciejewski, VI Torvik, J He Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 30 | 2022 |
| DrGNN: Deep Residual Graph Neural Network with Contrastive Learning L Zheng, D Fu, R Maciejewski, J He Transactions on Machine Learning Research, 2024 | 27* | 2024 |
| MentorGNN: Deriving Curriculum for Pre-Training GNNs D Zhou, L Zheng, D Fu, J Han, J He Proceedings of the 31st ACM International Conference on Information …, 2022 | 24 | 2022 |
| VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections D Fu, Z Hua, Y Xie, J Fang, S Zhang, K Sancak, H Wu, A Malevich, J He, ... The Twelfth International Conference on Learning Representations, 2024 | 23* | 2024 |
| DISCO: Comprehensive and Explainable Disinformation Detection D Fu, Y Ban, H Tong, R Maciejewski, J He Proceedings of the 31st ACM International Conference on Information …, 2022 | 20 | 2022 |
| Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs D Fu, D Zhou, R Maciejewski, A Croitoru, M Boyd, J He Proceedings of the ACM Web Conference 2023, 3755-3765, 2023 | 15 | 2023 |
| Everything Evolves in Personalized PageRank Z Li, D Fu, J He Proceedings of the ACM Web Conference 2023, 3342-3352, 2023 | 15 | 2023 |
| Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey D Fu, W Bao, R Maciejewski, H Tong, J He ACM SIGKDD Explorations Newsletter 25 (1), 54-72, 2023 | 8 | 2023 |
| Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future D Fu, J He Frontiers in Big Data, 2022 | 8* | 2022 |
| Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection D Fu, Y Zhu, H Tong, K Weldemariam, O Bhardwaj, J He arXiv preprint arXiv:2408.04254, 2024 | 5 | 2024 |
| Natural and Artificial Dynamics in GNNs: A Tutorial D Fu, Z Xu, H Tong, J He Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 4 | 2023 |
| Privacy-preserving Graph Analytics: Secure Generation and Federated Learning D Fu, J He, H Tong, R Maciejewski arXiv preprint arXiv:2207.00048, 2022 | 4 | 2022 |
| Parametric Graph Representations in the Era of Foundation Models: A Survey and Position D Fu, L Fang, Z Li, H Tong, VI Torvik, J He arXiv preprint arXiv:2410.12126, 2024 | 3 | 2024 |
| PageRank Bandits for Link Prediction Y Ban, J Zou, Z Li, Y Qi, D Fu, J Kang, H Tong, J He arXiv preprint arXiv:2411.01410, 2024 | 2 | 2024 |
| Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality Z Li, D Fu, H Liu, J He arXiv preprint arXiv:2411.03331, 2024 | 2 | 2024 |
| Dppin: a biological repository of dynamic protein-protein interaction network data (2021) D Fu, J He arXiv preprint arXiv:2107.02168, 0 | 2 | |