| Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning X He, X Bresson, T Laurent, A Perold, Y LeCun, B Hooi ICLR 2024, 2023 | 97* | 2023 |
| A Generalization of ViT/MLP-Mixer to Graphs X He, B Hooi, T Laurent, A Perold, Y LeCun, X Bresson ICML 2023, 2022 | 53 | 2022 |
| G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering X He, Y Tian, Y Sun, NV Chawla, T Laurent, Y LeCun, X Bresson, B Hooi arXiv preprint arXiv:2402.07630, 2024 | 22 | 2024 |
| Large-scale deep learning optimizations: A comprehensive survey X He, F Xue, X Ren, Y You arXiv preprint arXiv:2111.00856, 2021 | 13 | 2021 |
| One student knows all experts know: From sparse to dense F Xue, X He, X Ren, Y Lou, Y You arXiv preprint arXiv:2201.10890, 2022 | 12 | 2022 |
| A study on transformer configuration and training objective F Xue, J Chen, A Sun, X Ren, Z Zheng, X He, Y Chen, X Jiang, Y You ICML 2023, 2023 | 8* | 2023 |
| Federated learning on wearable devices: demo abstract X He, X Su, Y Chen, P Hui Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 613-614, 2020 | 7 | 2020 |
| Can we soft prompt LLMs for graph learning tasks? Z Liu, X He, Y Tian, NV Chawla WWW 2024, 2024 | 4 | 2024 |
| FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering Y Sui, Y He, N Liu, X He, K Wang, B Hooi arXiv preprint arXiv:2405.13873, 2024 | 1 | 2024 |
| Understanding Structural Hole Spanners in Location-Based Social Networks: A Data-Driven Study X He, Y Chen Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021 | 1 | 2021 |
| Advancing Graph Convolutional Networks via General Spectral Wavelets N Liu, X He, T Laurent, F Di Giovanni, MM Bronstein, X Bresson arXiv preprint arXiv:2405.13806, 2024 | | 2024 |
| The 1st International Workshop on Graph Foundation Models (GFM) H Mao, J Zhao, X He, Z Chen, Q Huang, Z Zhu, J Tang, M Bronstein, ... Companion Proceedings of the ACM on Web Conference 2024, 1789-1792, 2024 | | 2024 |
Bryan HooiNational University of SingaporeVerified email at comp.nus.edu.sg
