Instance Discrimination for Link Prediction

ArXi:2605.20257v1 Announce Type: new Recently, instance discrimination models have emerged as a major solution for self-supervised learning. Having already nstrated its effectiveness in the image domain, instance discrimination learning is now proving equally convincing in the graph domain, in particular for node classification. However, fewer contributions have tackled the link prediction task. In this contribution, we propose to adapt existing methods to this context.