2022
DyGRAIN: An Incremental Learning Framework for Dynamic Graphs
IJCAI 2022poster
Graph-structured data provide a powerful representation of complex relations or interactions. Many variants of graph neural networks (GNNs) have emerged to learn graph-structured data where underlying graphs are static, although graphs in various real-world applications are dynamic (e.g., evolving s…