Heng Zhang

History Doesn’t Repeat, but Its Patterns Echo: A Parallel Pairwise Negative-Sampling Framework for Temporal Link Prediction

This paper proposes ATNSF, a temporal graph learning framework with a hybrid negative sampling strategy that uses a portion of historical edges as hard negatives and introduces a pairwise sampled softmax loss that contrasts each positive instance with a batch of negatives to learn more discriminative representations.