One paper (An Empirical Study Challenging the Ability of Heterogeneous Graph Neural Networks to Effectively Learn Topological Structures) has been accepted by the top international journal IEEE Transactions on Big Data.

Three papers (Unequal Vulnerability: The Differential Impact of Label..., etc.) have been accepted by the top international conference WWW 2026.

One paper (PROTOTYPE-BASED INFORMATION BOTTLENECK FOR EXPLAINABLE HETEROGENEOUS TEMPORAL GRAPH NEURAL NETWORKS) has been accepted by the top international conference ICASSP 2026.

One paper (Interactive Graph Learning for Multilevel Network Alignment) has been accepted by IEEE TNNLS 2025.

One paper (HGMP: Heterogeneous Graph Multi-Task Prompt Learning) has been accepted by IJCAI 2025.

One paper (TGFormer: Towards temporal graph transformer with auto-correlation mechanism) has been accepted by Pattern Recognition 2025.

One paper (DVGMAE: Self-Supervised Dynamic Variational Graph Masked Autoencoder) has been accepted by IEEE TNNLS 2025.

One paper (Heterogeneous Temporal Hypergraph Neural Network) has been accepted by IJCAI 2025.

One paper (HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model) has been accepted by IJCAI 2025.