Chuan Chen

Rethinking the Gold Standard: Why Discrete Curvature Fails to Fully Capture Over-squashing in GNNs?

FedRKMGC: Towards High-Performance Gradient Correction-based Federated Learning via Relaxation and Fast KM Iteration

FedPAC: Consistent Representation Learning for Federated Unsupervised Learning under Data Heterogeneity

Contrastive Negative Preference Optimization for Machine Unlearning in LLMs

Self-Assembling Graph Perceptrons

Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths

Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective

Unsupervised Federated Graph Learning

GLNCD: Graph-Level Novel Category Discovery

Towards Understanding Parametric Generalized Category Discovery on Graphs

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off

Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective

FedLASE: Performance-Balanced System-Heterogeneous FL via Layer-Adaptive Submodel Extraction