| D4explainer: In-distribution explanations of graph neural network via discrete denoising diffusion J Chen, S Wu, A Gupta, R Ying Advances in Neural Information Processing Systems 36, 2024 | 9* | 2024 |
| Tempme: Towards the explainability of temporal graph neural networks via motif discovery J Chen, R Ying Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Generative explanations for graph neural network: Methods and evaluations J Chen, K Amara, J Yu, R Ying arXiv preprint arXiv:2311.05764, 2023 | 5 | 2023 |
| Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading Comprehension J Chen, Z Zhang, H Zhao COLING 2022, 2023 | 5 | 2023 |
| Dirichlet energy enhancement of graph neural networks by framelet augmentation J Chen, Y Wang, C Bodnar, R Ying, P Lio, YG Wang arXiv preprint arXiv:2311.05767, 2023 | 2 | 2023 |
| Approximate equivariance so (3) needlet convolution K Yi, J Chen, YG Wang, B Zhou, P Lio, Y Fan, J Hamann Topological, Algebraic and Geometric Learning Workshops 2022, 189-198, 2022 | 2 | 2022 |
| From Similarity to Superiority: Channel Clustering for Time Series Forecasting J Chen, JE Lenssen, A Feng, W Hu, M Fey, L Tassiulas, J Leskovec, ... arXiv preprint arXiv:2404.01340, 2024 | 1 | 2024 |
| Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition A Feng, J Chen, J Garza, B Berry, F Salazar, Y Gao, R Ying, L Tassiulas arXiv preprint arXiv:2403.04882, 2024 | 1 | 2024 |
| DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs J Zhang, J Chen, M Yang, A Feng, S Liang, J Shao, R Ying arXiv preprint arXiv:2406.12072, 2024 | | 2024 |
