BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning

1 code implementation • 26 Nov 2022 • Jihoon Ko, Shinhwan Kang, Taehyung Kwon, Heechan Moon, Kijung Shin

Compared to them, however, CL methods for graph data (graph CL) are relatively underexplored because of (a) the lack of standard experimental settings, especially regarding how to deal with the dependency between instances, (b) the lack of benchmark datasets and scenarios, and (c) high complexity in implementation and evaluation due to the dependency.

Continual Learning