3 papers
cs.LG2026
Analytic Drift Resister for Non-Exemplar Continual Graph Learning
Lei Song, Shihan Guan, Youyong Kong
Non-Exemplar Continual Graph Learning (NECGL) seeks to eliminate the privacy risks intrinsic to rehearsal-based paradigms by retaining solely class-level prototype representations…
cs.AI2026
M3D-BFS: a Multi-stage Dynamic Fusion Strategy for Sample-Adaptive Multi-Modal Brain Network Analysis
Rui Dong, Xiaotong Zhang, Jiaxing Li +3
Multi-modal fusion is of great significance in neuroscience which integrates information from different modalities and can achieve better performance than uni-modal methods in down…
cs.LG2025
Instance-Prototype Affinity Learning for Non-Exemplar Continual Graph Learning
Lei Song, Jiaxing Li, Shihan Guan +1
Graph Neural Networks (GNN) endure catastrophic forgetting, undermining their capacity to preserve previously acquired knowledge amid the assimilation of novel information. Rehears…