| Gbk-gnn: Gated bi-kernel graph neural networks for modeling both homophily and heterophily L Du, X Shi, Q Fu, X Ma, H Liu, S Han, D Zhang Proceedings of the ACM Web Conference 2022, 1550-1558, 2022 | 89 | 2022 |
| Homophily-oriented heterogeneous graph rewiring J Guo, L Du, W Bi, Q Fu, X Ma, X Chen, S Han, D Zhang, Y Zhang Proceedings of the ACM Web Conference 2023, 511-522, 2023 | 20 | 2023 |
| Meta-weight graph neural network: Push the limits beyond global homophily X Ma, Q Chen, Y Ren, G Song, L Wang Proceedings of the ACM Web Conference 2022, 1270-1280, 2022 | 19 | 2022 |
| Improving graph neural networks with structural adaptive receptive fields X Ma, J Wang, H Chen, G Song Proceedings of the Web Conference 2021, 2438-2447, 2021 | 19 | 2021 |
| Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. Y Wang, L Du, G Song, X Ma, L Jin, W Lin, F Sun IJCAI, 3799-3805, 2019 | 14 | 2019 |
| Chinese medical concept normalization by using text and comorbidity network embedding Y Zhang, X Ma, G Song 2018 IEEE international conference on data mining (ICDM), 777-786, 2018 | 11 | 2018 |
| Hierarchical transformer for scalable graph learning W Zhu, T Wen, G Song, X Ma, L Wang arXiv preprint arXiv:2305.02866, 2023 | 10 | 2023 |
| On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering J Guo, L Du, X Chen, X Ma, Q Fu, S Han, D Zhang, Y Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Rethinking structural encodings: Adaptive graph transformer for node classification task X Ma, Q Chen, Y Wu, G Song, L Wang, B Zheng Proceedings of the ACM Web Conference 2023, 533-544, 2023 | 9 | 2023 |
| EPNE: Evolutionary pattern preserving network embedding J Wang, Y Jin, G Song, X Ma ECAI 2020, 1603-1610, 2020 | 8 | 2020 |
| Leveraging llms for kpis retrieval from hybrid long-document: A comprehensive framework and dataset C Yue, X Xu, X Ma, L Du, H Liu, Z Ding, Y Jiang, S Han, D Zhang arXiv preprint arXiv:2305.16344, 2023 | 4 | 2023 |
| Text2analysis: A benchmark of table question answering with advanced data analysis and unclear queries X He, M Zhou, X Xu, X Ma, R Ding, L Du, Y Gao, R Jia, X Chen, S Han, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18206 …, 2024 | 3 | 2024 |
| Learning discrete adaptive receptive fields for graph convolutional networks X Ma, Z Li, G Song, C Shi Science China Information Sciences 66 (12), 222101, 2023 | 3 | 2023 |
| Lereg: Empower graph neural networks with local energy regularization X Ma, H Chen, G Song Proceedings of the 30th ACM International Conference on Information …, 2021 | 2 | 2021 |
| GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network R Jia, H Guo, X Jin, C Yan, L Du, X Ma, T Stankovic, M Lozajic, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| Enabling and Analyzing How to Efficiently Extract Information from Hybrid Long Documents with LLMs C Yue, X Xu, X Ma, L Du, H Liu, Z Ding, Y Jiang, S Han, D Zhang arXiv preprint arXiv:2305.16344, 2023 | | 2023 |
| Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts X Ma, Z Li, S Wei, G Song Advanced Data Mining and Applications: 16th International Conference, ADMA …, 2020 | | 2020 |
| Solution for NeurIPS 2022 OGB-LSC X Chen, X Ma, L Du, Y Fan, J Liao, C Yue, Q Fu, S Han | | |
