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 International Conference on Learning Representations (ICLR), 2023 | 66* | 2023 |
A Generalization of ViT/MLP-Mixer to Graphs X He, B Hooi, T Laurent, A Perold, Y LeCun, X Bresson International Conference on Machine Learning (ICML), 2022 | 35 | 2022 |
Large-scale deep learning optimizations: A comprehensive survey X He, F Xue, X Ren, Y You arXiv preprint arXiv:2111.00856, 2021 | 12 | 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 | 10 | 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 International Conference on Machine Learning, 38913-38925, 2023 | 8* | 2023 |
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 | 7 | 2024 |
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 arXiv preprint arXiv:2402.10359, 2024 | 2 | 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 |