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Haitian Jiang
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Simplifying and empowering transformers for large-graph representations
Q Wu, W Zhao, C Yang, H Zhang, F Nie, H Jiang, Y Bian, J Yan
Advances in Neural Information Processing Systems 36, 2024
142024
Refresh: Reducing memory access from exploiting stable historical embeddings for graph neural network training
K Huang, H Jiang, M Wang, G Xiao, D Wipf, X Song, Q Gan, Z Huang, ...
arXiv preprint arXiv:2301.07482, 2023
62023
MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale
H Jiang, R Liu, X Yan, Z Cai, M Wang, D Wipf
arXiv preprint arXiv:2310.12457, 2023
32023
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
R Liu, Y Wang, X Yan, Z Cai, M Wang, H Jiang, B Tang, J Li
arXiv preprint arXiv:2405.05231, 2024
2024
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
K Huang, H Jiang, M Wang, G Xiao, D Wipf, X Song, Q Gan, Z Huang, ...
Proceedings of the VLDB Endowment 17 (6), 1473-1486, 2024
2024
Interpretable and Convergent Graph Neural Network Layers at Scale
H Jiang, R Liu, X Yan, Z Cai, M Wang, D Wipf
2023
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Articles 1–6