A comprehensive survey on deep graph representation learning W Ju, Z Fang, Y Gu, Z Liu, Q Long, Z Qiao, Y Qin, J Shen, F Sun, Z Xiao, ... Neural Networks, 106207, 2024 | 98 | 2024 |

Unsupervised graph-level representation learning with hierarchical contrasts W Ju*, Y Gu*, X Luo, Y Wang, H Yuan, H Zhong, M Zhang Neural Networks 158, 359-368, 2023 | 45 | 2023 |

Clear: Cluster-enhanced contrast for self-supervised graph representation learning X Luo*, W Ju*, M Qu, Y Gu, C Chen, M Deng, XS Hua, M Zhang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 43 | 2022 |

Glcc: A general framework for graph-level clustering W Ju*, Y Gu*, B Chen, G Sun, Y Qin, X Liu, X Luo, M Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4391-4399, 2023 | 36 | 2023 |

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning X Luo*, W Ju*, Y Gu, Z Mao, L Liu, Y Yuan, M Zhang ACM Transactions on Knowledge Discovery from Data, 2023 | 28 | 2023 |

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges W Ju, S Yi, Y Wang, Z Xiao, Z Mao, H Li, Y Gu, Y Qin, N Yin, S Wang, ... arXiv preprint arXiv:2403.04468, 2024 | 19 | 2024 |

Graphine: A dataset for graph-aware terminology definition generation Z Liu, S Wang, Y Gu, R Zhang, M Zhang, S Wang EMNLP 2021, 2021 | 12 | 2021 |

A Survey on Graph Neural Networks in Intelligent Transportation Systems H Li, Y Zhao, Z Mao, YF Qin, Z Xiao, J Feng, Y Gu, W Ju, X Luo, M Zhang arXiv preprint arXiv:2401.00713, 2024 | 11 | 2024 |

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling X Luo, W Ju, Y Gu, Y Qin, S Yi, D Wu, L Liu, M Zhang ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2023 | 10 | 2023 |

Criterion-based heterogeneous collaborative filtering for multi-behavior implicit recommendation X Luo*, D Wu*, Y Gu*, C Chen, L Liu, J Ma, M Zhang, M Deng, J Huang, ... ACM Transactions on Knowledge Discovery from Data, 2023 | 8 | 2023 |

Hypergraph-enhanced Dual Semi-supervised Graph Classification W Ju, Z Mao, S Yi, Y Qin, Y Gu, Z Xiao, Y Wang, X Luo, M Zhang ICML 2024, 2024 | 2 | 2024 |

PGODE: Towards High-quality System Dynamics Modeling X Luo, Y Gu, H Jiang, H Zhou, J Huang, W Ju, Z Xiao, M Zhang, Y Sun Forty-first International Conference on Machine Learning, 2024 | 2* | 2024 |

GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation J Luo, Y Gu, X Luo, W Ju, Z Xiao, Y Zhao, J Yuan, M Zhang IEEE Transactions on Pattern Analysis & Machine Intelligence, 1-14, 2024 | 1 | 2024 |

DEER: Distribution Divergence-based Graph Contrast for Partial Label Learning on Graphs Y Gu, Z Chen, Y Qin, Z Mao, Z Xiao, W Ju, C Chen, XS Hua, Y Wang, ... IEEE Transactions on Multimedia, 2024 | 1 | 2024 |

Towards Graph Contrastive Learning: A Survey and Beyond W Ju, Y Wang, Y Qin, Z Mao, Z Xiao, J Luo, J Yang, Y Gu, D Wang, ... arXiv preprint arXiv:2405.11868, 2024 | 1 | 2024 |

GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling W Ju, Y Gu, Z Mao, Z Qiao, Y Qin, X Luo, H Xiong, M Zhang Accepted by SCIENCE CHINA Information Sciences 2024, arXiv preprint arXiv …, 2024 | 1 | 2024 |

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering Y Qin, W Ju, X Luo, Y Gu, Z Xiao, M Zhang arXiv preprint arXiv:2401.12590, 2024 | 1 | 2024 |