Modern recommender systems are required to adapt to the change in user
p...
Theoretical analyses for graph learning methods often assume a complete
...
We study Graph Convolutional Networks (GCN) from the graph signal proces...
In this paper, we study the graph classification problem from the graph
...
We present a simple proof for the universality of invariant and equivari...
Graph neural networks have become one of the most important techniques t...
We study the robustness to symmetric label noise of GNNs training proced...