1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
AdNGCL: Adaptive Negative Scheduling for Graph Contrastive Learning
Adnan Ali, Jinlong Li, Syed Muhammad Israr +3
Negative samples play a crucial role in graph contrastive learning (GCL), yet existing methods mainly focus on which negatives should be selected, mined, filtered, or progressively…
cs.LG2025
A Binary Classification Social Network Dataset for Graph Machine Learning
Adnan Ali, Jinglong Li, Huanhuan Chen +1
Social networks have a vast range of applications with graphs. The available benchmark datasets are citation, co-occurrence, e-commerce networks, etc, with classes ranging from 3 t…
cs.LG2022★ 1 cited
Features Based Adaptive Augmentation for Graph Contrastive Learning
Adnan Ali, Jinlong Li
Self-Supervised learning aims to eliminate the need for expensive annotation in graph representation learning, where graph contrastive learning (GCL) is trained with the self-super…