This classification problem aims to predict the class label for each node based on its features and relationships with other nodes. *This is a course project for CSE 881 Data Mining at MSU. Since it ...

Abstract: As network technologies advance, graph-structured data has grown in importance. Node classification, a key area in analyzing graph data, aims to predict the categories of unlabeled nodes ...

Abstract: We investigate graph convolution networks with efficient learning from higher-order graph convolutions and direct learning from adjacency matrices for node classification. We revisit the ...

Efficiently and quickly chewing through one trillion edges of a complex graph is no longer in itself a standalone achievement, but doing so on a single node, albeit with some acceleration and ...