Abstract: Recent studies in cross-domain classification have shown that discriminant information of both source and target domains is very important. In this article, we propose a new domain ...
Abstract: Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph ...
We present the Long Range Graph Benchmark (LRGB) with 5 graph learning datasets that arguably require long-range reasoning to achieve strong performance in a given task. For a reassessment of the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback