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Zhikai Chen
Zhikai Chen
Michigan State University
Dirección de correo verificada de msu.edu - Página principal
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Exploring the potential of large language models (llms) in learning on graphs
Z Chen, H Mao, H Li, W Jin, H Wen, X Wei, S Wang, D Yin, W Fan, H Liu, ...
ACM SIGKDD Explorations Newsletter 25 (2), 42-61, 2024
2742024
Demystifying structural disparity in graph neural networks: Can one size fit all?
H Mao, Z Chen, W Jin, H Han, Y Ma, T Zhao, N Shah, J Tang
Advances in neural information processing systems 36, 2024
572024
Label-free node classification on graphs with large language models (llms)
Z Chen, H Mao, H Wen, H Han, W Jin, H Zhang, H Liu, J Tang
the twelfth international conference on learning representations, 2024
562024
Graph Foundation Models
H Mao*, Z Chen*, W Tang, J Zhao, Y Ma, T Zhao, N Shah, M Galkin, ...
The Forty-first International Conference on Machine Learning, 2024
262024
Graph machine learning in the era of large language models (llms)
W Fan, S Wang, J Huang, Z Chen, Y Song, W Tang, H Mao, H Liu, X Liu, ...
arXiv preprint arXiv:2404.14928, 2024
212024
Position: Graph Foundation Models Are Already Here
H Mao, Z Chen, W Tang, J Zhao, Y Ma, T Zhao, N Shah, M Galkin, J Tang
Forty-first International Conference on Machine Learning, 0
21
Neural scaling laws on graphs
J Liu, H Mao, Z Chen, T Zhao, N Shah, J Tang
arXiv preprint arXiv:2402.02054, 2024
132024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Z Chen, H Mao, J Liu, Y Song, B Li, W Jin, B Fatemi, A Tsitsulin, B Perozzi, ...
NeurIPS 2024 Datasets and Benchmark Track, 2024
62024
Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation
J Li, H Han, Z Chen, H Shomer, W Jin, A Javari, J Tang
arXiv preprint arXiv:2402.08921, 2024
32024
Leveraging diversity-aware context attention networks for fake news detection on social platforms
Z Chen, P Wu, L Pan
2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022
22022
Improving causal reasoning in large language models: A survey
L Yu, D Chen, S Xiong, Q Wu, Q Liu, D Li, Z Chen, X Liu, L Pan
arXiv preprint arXiv:2410.16676, 2024
12024
Learning on Graphs with Large Language Models (LLMs): A Deep Dive into Model Robustness
K Guo, Z Liu, Z Chen, H Wen, W Jin, J Tang, Y Chang
arXiv preprint arXiv:2407.12068, 2024
12024
A Pure Transformer Pretraining Framework on Text-attributed Graphs
Y Song, H Mao, J Xiao, J Liu, Z Chen, W Jin, C Yang, J Tang, H Liu
arXiv preprint arXiv:2406.13873, 2024
12024
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
J Liu, H Mao, Z Chen, W Fan, M Ju, T Zhao, N Shah, J Tang
arXiv preprint arXiv:2412.00315, 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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