Shichang Zhang
Shichang Zhang
Computer Science, UCLA
Verified email at - Homepage
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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
Motif-driven contrastive learning of graph representations
S Zhang, Z Hu, A Subramonian, Y Sun
arXiv preprint arXiv:2012.12533, 2020
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
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
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
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
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
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
Hierarchical Compression of Text-Rich Graphs via Large Language Models
S Zhang, D Zheng, J Zhang, Q Zhu, S Adeshina, C Faloutsos, G Karypis, ...
arXiv preprint arXiv:2406.11884, 2024
Automated Molecular Concept Generation and Labeling with Large Language Models
S Zhang, B Xia, Z Zhang, Q Wu, F Sun, Z Hu, Y Sun
arXiv preprint arXiv:2406.09612, 2024
Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller
M Cai, Y Zhang, S Zhang, F Yin, D Zou, Y Yue, Z Hu
arXiv preprint arXiv:2406.02721, 2024
Efficient Ensembles Improve Training Data Attribution
J Deng, TW Li, S Zhang, J Ma
arXiv preprint arXiv:2405.17293, 2024
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
Q Zhu, D Zheng, X Song, S Zhang, B Jin, Y Sun, G Karypis
arXiv preprint arXiv:2404.18271, 2024
Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks
Y Wang, S Zhang, J Cho, Y Sun
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024
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
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