Pei-Kai Yeh

Random Walk Conformer: Learning Graph Representation from Long and Short Range

While graph neural networks (GNNs) have achieved notable success in various graph mining tasks, conventional GNNs only model the pairwise correlation in 1-hop neighbors without considering the long-term relations and the high-order patterns, thus limiting their performances. Recently, several works…