Hangyuan Du

School of Computer and Information Technology , Shanxi University , Taiyuan , China

7 papers in the IJCAI proceedings

IJCAI 2026

A Unified Spectral-Spatial Framework for GNNs: Balancing Over-Smoothing and Over-Squashing

with Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Jing Li

doi:10.24963/ijcai.2026/330

Details PDF

ADC-GNN: Adaptive Dual-level Collaborative Graph Neural Networks for Graph Classification

with Wan Tang, Lu Bai, Lixin Cui, Ming Li, Jing Li

doi:10.24963/ijcai.2026/337

Details PDF

IJCAI 2025

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification

with Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Yue Wang, Edwin Hancock

doi:10.24963/ijcai.2025/301

Details PDF

An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection

with Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Yue Wang, Edwin Hancock

doi:10.24963/ijcai.2025/408

Details PDF

DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification

with Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Edwin Hancock

doi:10.24963/ijcai.2025/362

Details PDF

Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint

with Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin Hancock

doi:10.24963/ijcai.2025/360

Details PDF

HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification

with Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin Hancock

doi:10.24963/ijcai.2025/361

Details PDF

Future Conferences

AI Journal Division

IJCAI Proceedings