graph-deep-learning

This page summarises the open source code of our group, mostly on graph learning & deep learning. More source code will be released as it is ready for publishing. You can visit your GRAND Lab page on Github for more details.

Graph Learning & Deep Learning

• Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination (NeurIPS 2022)

  • Yizhen Zheng, Shirui Pan, Vincent Lee, Yu Zheng, Philip S. Yu
  • [Paper]
  • [Python Implementation]

• Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs (NeurIPS 2022)

  • Ming Jin, Yuan-Fang Li, Shirui Pan
  • [Paper]
  • [Python Implementation]

• Unifying Graph Contrastive Learning with Flexible Contextual Scopes (ICDM 2022)

  • Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent CS Lee, Shirui Pan
  • [Paper]
  • [Python Implementation]

• Towards Unsupervised Deep Graph Structure Learning (WWW 2022)

  • Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
  • [Paper]
  • [Python Implementation]

• Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering (TKDE 2022)

  • Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
  • [Paper]
  • [Python Implementation]

• Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning (IJCAI 2021)

  • Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
  • [Paper]
  • [Python Implementation]

• Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning (AAAI 2021)

  • Sheng Wan, Shirui Pan, Jian Yang, Chen Gong
  • [Paper]
  • [Python Implementation]

• ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning (CIKM 2021)

  • Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan
  • [Paper]
  • [Python Implementation]

• Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (TNNLS 2021)

  • Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
  • [Paper]
  • [Python Implementation]

• Open-World Graph Learning (ICDM 2020)

  • Man Wu, Shirui Pan, Xingquan Zhu
  • [Paper]
  • [Python Implementation]

• One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting (TPAMI 2020)

  • Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Su
  • [Paper]
  • [Python Implementation]

• Graph Stochastic Neural Networks for Semi-supervised Learning (NeurIPS 2020)

  • Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Jilong Wang
  • [Paper]
  • [Python Implementation]

• Graph Geometry Interaction Learning (NeurIPS 2020)

  • Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang
  • [Paper]
  • [Python Implementation]

• Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement (NeurIPS 2020)

  • Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven Su
  • [Paper]
  • [Python Implementation]

• Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks (KDD 2020)

  • Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang
  • [Paper]
  • [Python Implementation]

• Overcoming Multi-Model Forgetting in One-Shot NAS with Diversity Maximization (CVPR 2020)

  • Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven Su
  • [Paper]
  • [Python Implementation]

• Unsupervised Domain Adaptive Graph Convolutional Networks (WWW 2020)

  • Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu
  • [Paper]
  • [Python Implementation]

• GSSNN: Graph Smoothing Splines Neural Network (AAAI 2020)

  • Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan, Bin Wang
  • [Paper]
  • [Python Implementation]

• Reinforcement Learning based Meta-path Discovery in Large-scale Heterogeneous Information Networks (AAAI 2020)

  • Guojia Wan, Bo Du, Shirui Pan, Gholamreza Haffari
  • [Paper]
  • [Python Implementation]

• Relation Structure-Aware Heterogeneous Graph Neural Network (ICDM 2019)

  • Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang
  • [Paper]
  • [Python Implementation]

• Graph WaveNet for Deep Spatial-Temporal Graph Modeling (IJCAI 2019)

  • Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
  • [Paper]
  • [Python Implementation]

• Adversarially regularized graph autoencoder for graph embedding (IJCAI 2018)

  • Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
  • [Paper]
  • [Python Implementation]

• Binarized attributed network embedding (ICDM 2018)

  • Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang
  • [Paper]
  • [Matlab Implementation]
  • [Python Reference]

• MGAE: marginalized graph autoencoder for graph clustering (CIKM 2017)

  • Chun Wang, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang
  • [Paper]
  • [Matlab Implementation]

• Tri-party deep network representation (IJCAI 2016)

  • Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yang Wang
  • [Paper]
  • [Python Implementation]