Changwen Zheng

8

Papers

7

Total Citations

Papers (8)

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach

Towards the Causal Complete Cause of Multi-Modal Representation Learning

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration

Rethinking Causal Relationships Learning in Graph Neural Networks

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective

SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders

MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning