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Xiaoxin He
Xiaoxin He
Verified email at u.nus.edu - Homepage
Title
Cited by
Cited by
Year
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
79*2023
A Generalization of ViT/MLP-Mixer to Graphs
X He, B Hooi, T Laurent, A Perold, Y LeCun, X Bresson
ICML 2023, 2022
472022
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
122024
Large-scale deep learning optimizations: A comprehensive survey
X He, F Xue, X Ren, Y You
arXiv preprint arXiv:2111.00856, 2021
122021
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
102022
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
9*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
72020
Can we soft prompt LLMs for graph learning tasks?
Z Liu, X He, Y Tian, NV Chawla
WWW 2024, 2024
22024
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
12021
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
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
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
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