3 papers
cs.LG2026
Cheeger--Hodge Contrastive Learning for Structurally Robust Graph Representation Learning
Mengyang Zhao, Longlong Li, Cunquan Qu
Graph Contrastive Learning (GCL) has emerged as a prominent framework for unsupervised graph representation learning. However, relying on augmentation design alone to define the in…
cs.LG2026
MISApp: Multi-Hop Intent-Aware Session Graph Learning for Next App Prediction
Yunchi Yang, Longlong Li, Jianliang Wu +1
Predicting the next mobile app a user will launch is essential for proactive mobile services. Yet accurate prediction remains challenging in real-world settings, where user intent…
cs.LG2026
MGKAN: Predicting Asymmetric Drug-Drug Interactions via a Multimodal Graph Kolmogorov-Arnold Network
Kunyi Fan, Mengjie Chen, Longlong Li +1
Predicting drug-drug interactions (DDIs) is essential for safe pharmacological treatments. Previous graph neural network (GNN) models leverage molecular structures and interaction…