| Geodesic Graph Neural Network for Efficient Graph Representation Learning L Kong, Y Chen, M Zhang Advances in Neural Information Processing Systems 35, 5896--5909, 2022 | 19 | 2022 |
| One for all: Towards training one graph model for all classification tasks H Liu, J Feng, L Kong, N Liang, D Tao, Y Chen, M Zhang arXiv preprint arXiv:2310.00149, 2023 | 10 | 2023 |
| Manipulating elections by changing voter perceptions J Wu, A Estornell, L Kong, Y Vorobeychik arXiv preprint arXiv:2205.00102, 2022 | 5 | 2022 |
| MAG-GNN: Reinforcement Learning Boosted Graph Neural Network L Kong, J Feng, H Liu, D Tao, Y Chen, M Zhang Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks L Kong, C King, B Fritz, Y Chen arXiv preprint arXiv:2301.11608, 2023 | 1 | 2023 |
| Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman J Feng, L Kong, H Liu, D Tao, F Li, M Zhang, Y Chen Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks H Liu, J Feng, L Kong, D Tao, Y Chen, M Zhang arXiv preprint arXiv:2309.10376, 2023 | | 2023 |
| Towards Arbitrarily Expressive GNNs in Space by Rethinking Folklore Weisfeiler-Lehman J Feng, L Kong, H Liu, D Tao, F Li, M Zhang, Y Chen arXiv preprint arXiv:2306.03266, 2023 | | 2023 |
| Time Associated Meta Learning for Clinical Prediction H Liu, M Zhang, Z Dong, L Kong, Y Chen, B Fritz, D Tao, C King arXiv preprint arXiv:2303.02570, 2023 | | 2023 |
Muhan ZhangPeking UniversityVerified email at pku.edu.cn
