2026
Negative Sampling From the Ground Up: A Redesign for Graph-based Recommendations
ICML 2026poster
Negative sampling is an important yet challenging component in self-supervised graph representation learning, particularly for recommendation systems where user-item interactions are modeled as bipartite graphs. Existing methods often rely on heuristics or human-specified principles to design negati…