Di Jin

Federated Graph-Level Clustering Network with Dual Knowledge Separation

BRep: Graph-structured Brain Representation Learning via Parametric High-order Dependence Measures

Disentangled Graph Spectral Domain Adaptation

A Closer Look at Graph Transformers: Cross-Aggregation and Beyond

Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification

LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks

One Prompt Fits All: Universal Graph Adaptation for Pretrained Models

Do We Really Need Message Passing in Brain Network Modeling?