Publications

• Graph Contrastive Learning with Stable and Scalable Spectral Encoding (NeurIPS 2023)
  • Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi
• Specformer: Spectral Graph Neural Networks Meet Transformers (ICLR 2023)
  • Deyu Bo, Chuan Shi, Lele Wang, Renjie Liao
• Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum (NeurIPS 2022)
  • Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
• Regularizing Graph Neural Networks via Consistency-diversity Graph Augmentations (AAAI 2022)
  • Deyu Bo, BinBin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
• Beyond Low-frequency Information in Graph Convolutional Networks (AAAI 2021)
  • Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen
• Structural Deep Clustering Network (WWW 2020)
  • Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui
• AM-GCN: Adaptive Multi-channel Graph Convolutional Networks (KDD 2020)
  • Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
• A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources (IEEE TBD)
  • Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, S Yu Philip

Preprint

• Graph Condensation via Eigenbasis Matching
  • Yang Liu, Deyu Bo, Chuan Shi
• A Survey on Spectral Graph Neural Networks
  • Deyu Bo, Xiao Wang, Yang Liu, Yuan Fang, Yawen Li, Chuan Shi