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cs.LG2025
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang, Tang Liu, Yangkun Wang +2
It has been observed that message-passing graph neural networks (GNN) sometimes struggle to maintain a healthy balance between the efficient/scalable modeling of long-range depende…
cs.LG2024
Handling Distribution Shifts on Graphs: An Invariance Perspective
Qitian Wu, Hengrui Zhang, Junchi Yan +1
There is increasing evidence suggesting neural networks' sensitivity to distribution shifts, so that research on out-of-distribution (OOD) generalization comes into the spotlight.…