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Shichang Zhang
Shichang Zhang
Computer Science, UCLA
Verified email at cs.ucla.edu - Homepage
Title
Cited by
Cited by
Year
Graph-less neural networks: Teaching old mlps new tricks via distillation
S Zhang, Y Liu, Y Sun, N Shah
International Conference on Learning Representations (ICLR 2022), 2021
1342021
Graph condensation for graph neural networks
W Jin, L Zhao, S Zhang, Y Liu, J Tang, N Shah
International Conference on Learning Representations (ICLR 2022), 2021
922021
Motif-driven contrastive learning of graph representations
S Zhang, Z Hu, A Subramonian, Y Sun
arXiv preprint arXiv:2012.12533, 2020
742020
Scibench: Evaluating college-level scientific problem-solving abilities of large language models
X Wang, Z Hu, P Lu, Y Zhu, J Zhang, S Subramaniam, AR Loomba, ...
arXiv preprint arXiv:2307.10635, 2023
362023
Linkless link prediction via relational distillation
Z Guo, W Shiao, S Zhang, Y Liu, NV Chawla, N Shah, T Zhao
International Conference on Machine Learning, 12012-12033, 2023
262023
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
S Zhang, Y Liu, N Shah, Y Sun
Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022
192022
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
S Zhang, J Zhang, X Song, S Adeshina, D Zheng, C Faloutsos, Y Sun
Proceedings of the ACM Web Conference 2023, 2023
142023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
S Zhang, A Sohrabizadeh, C Wan, Z Huang, Z Hu, Y Wang, J Cong, ...
arXiv preprint arXiv:2306.14052, 2023
32023
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks
H Li, S Zhang, L Tang, M Bauchy, Y Sun
arXiv preprint arXiv:2401.08627, 2023
2023
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Articles 1–9