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cs.LG2024
Understanding Heterophily for Graph Neural Networks
Junfu Wang, Yuanfang Guo, Liang Yang +1
Graphs with heterophily have been regarded as challenging scenarios for Graph Neural Networks (GNNs), where nodes are connected with dissimilar neighbors through various patterns.…
cs.LG2023
Common Knowledge Learning for Generating Transferable Adversarial Examples
Ruijie Yang, Yuanfang Guo, Junfu Wang +2
This paper focuses on an important type of black-box attacks, i.e., transfer-based adversarial attacks, where the adversary generates adversarial examples by a substitute (source)…
cs.LG2022
Binary Graph Convolutional Network with Capacity Exploration
Junfu Wang, Yuanfang Guo, Liang Yang +1
The current success of Graph Neural Networks (GNNs) usually relies on loading the entire attributed graph for processing, which may not be satisfied with limited memory resources,…