2 papers
cs.LG2024
AHSG: Adversarial Attack on High-level Semantics in Graph Neural Networks
Kai Yuan, Jiahao Zhang, Yidi Wang +1
Adversarial attacks on Graph Neural Networks aim to perturb the performance of the learner by carefully modifying the graph topology and node attributes. Existing methods achieve a…
cs.LG2024
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs
Haoran Yang, Xiaobing Pei, Kai Yuan
Due to the performance degradation of graph neural networks (GNNs) under distribution shifts, the work on out-of-distribution (OOD) generalization on graphs has received widespread…