2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025
On the Expressive Power of Subgraph Graph Neural Networks for Graphs with Bounded Cycles
Ziang Chen, Qiao Zhang, Runzhong Wang
Graph neural networks (GNNs) have been widely used in graph-related contexts. It is known that the separation power of GNNs is equivalent to that of the Weisfeiler-Lehman (WL) test…
cs.LG2025
Residual connections provably mitigate oversmoothing in graph neural networks
Ziang Chen, Zhengjiang Lin, Shi Chen +2
Graph neural networks (GNNs) have achieved remarkable empirical success in processing and representing graph-structured data across various domains. However, a significant challeng…
cs.CL2024★ 2 cited
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis
Tianyu Cui, Shiyu Ma, Ziang Chen +10
Log analysis is crucial for ensuring the orderly and stable operation of information systems, particularly in the field of Artificial Intelligence for IT Operations (AIOps). Large…