2021
Relation-aware Graph Attention Model with Adaptive Self-adversarial Training
AAAI 2021technical
This paper describes an end-to-end solution for the relationship prediction task in heterogeneous, multi-relational graphs. We particularly address two building blocks in the pipeline, namely heterogeneous graph representation learning and negative sampling. Existing message passing-based graph neur…