publications

2024

  1. KDD’24
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    LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
    Zeyang ZhangXin WangZiwei ZhangHaoyang Li, Yijian Qin, and Wenwu Zhu
    In ACM SIGKDD, 2024
  2. ICML’24
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    Disentangled Continual Graph Neural Architecture Search with Invariant Modularization
    Zeyang ZhangXin Wang, Yijian Qin, Hong Chen, Xu Chu, Ziwei Zhang, and Wenwu Zhu
    In ICML, 2024
  3. ICML’24
    Disentangled Graph Self-supervised Learning under Distribution Shifts
    Haoyang LiXin WangZeyang Zhang, Haibo Chen Ziwei Zhang, and Wenwu Zhu
    In ICML, 2024
  4. KDD’24
    Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
    Beini Xie, Heng Chang, Ziwei ZhangZeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, and Wenwu Zhu
    In ACM SIGKDD, 2024
  5. IJCAI’24t
    Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLMs
    Xin WangHaoyang LiZeyang Zhang, and Wenwu Zhu
    IJCAI tutorial, 2024
  6. Arxiv
    LLM-Enhanced Causal Discovery in Temporal Domain from Interventional Data
    Peiwen Li, Xin WangZeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, and Wenweu Zhu
    2024
  7. BioRxiv
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    Decoding cell identity with multi-scale explainable deep learning
    Jun Zhu*, Zeyang Zhang*, Yujia Xiang, Beini Xie, Xinwen Dong, Linhai Xie, Peijie Zhou, Rongyan Yao, Xiaowen Wang, Yang Li, Fuchu HeWenwu ZhuZiwei Zhang, and Cheng Chang
    bioRxiv, 2024
  8. Arxiv
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    Exploring the Potential of Large Language Models in Graph Generation
    Yang Yao, Xin WangZeyang Zhang, Yijian Qin, Ziwei Zhang, Xu Chu, Yuekui Yang, Wenwu Zhu, and Hong Mei
    arXiv preprint arXiv:2403.14358, 2024

2023

  1. NeurIPS’23w
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    Graph Meets LLMs: Towards Large Graph Models
    Ziwei ZhangHaoyang LiZeyang Zhang, Yijian Qin, Xin Wang, and Wenwu Zhu
    In Conference on Neural Information Processing Systems Workshop, 2023
  2. Arxiv
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    LLM4VG: Large Language Models Evaluation for Video Grounding
    Wei Feng, Xin Wang, Hong Chen, Zeyang Zhang, Zihan Song, Yuwei Zhou, and Wenwu Zhu
    arXiv preprint arXiv:2312.14206, 2023
  3. Arxiv
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    Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion
    Zeyang ZhangXin WangZiwei ZhangHaoyang Li, and Wenwu Zhu
    arXiv preprint arXiv:2311.14255, 2023
  4. MedAI’23
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    Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
    Zeyang Zhang*, Xingwang Li*, Fei Teng, Ning Lin, Xueling Zhu, Xin Wang, and Wenwu Zhu
    In IEEE International Conference on Medical Artificial Intelligence, 2023
  5. NeurIPS’23
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    Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
    Zeyang ZhangXin WangZiwei Zhang, Guangyao Shen, Shiqi Shen, and Wenwu Zhu
    In Advances in Neural Information Processing Systems, 2023
  6. NeurIPS’23
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    Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
    Zeyang ZhangXin WangZiwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, and Wenwu Zhu
    In Advances in Neural Information Processing Systems, 2023
  7. AAAI’23
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    Dynamic Heterogeneous Graph Attention Neural Architecture Search
    Zeyang ZhangZiwei ZhangXin Wang, Yijian Qin, Zhou Qin, and Wenwu Zhu
    In Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

  1. NeurIPS’22
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    Dynamic graph neural networks under spatio-temporal distribution shift
    Zeyang ZhangXin WangZiwei ZhangHaoyang Li, Zhou Qin, and Wenwu Zhu
    In Advances in Neural Information Processing Systems, 2022
  2. AAAI’22
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    Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum
    Zeyang ZhangZiwei ZhangXin Wang, and Wenwu Zhu
    Thirty-Fifth AAAI Conference on Artificial Intelligence, 2022
  3. NeurIPS’22
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    NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
    Yijian Qin, Ziwei ZhangXin WangZeyang Zhang, and Wenwu Zhu
    In Thirty-Sixth Conference on Neural Information Processing Systems, 2022

2021

  1. CVPR’21w
    One-Shot Neural Channel Search: What Works and What’s Next
    Chaoyu Guan, Yijian Qin, Zhikun Wei, Zeyang Zhang, Zizhao Zhang, Xin Wang, and Wenwu Zhu
    In CVPR 2021 workshop, 2021
  2. ICLR’21w
    AutoGL: A Library for Automated Graph Learning
    Chaoyu Guan, Ziwei ZhangHaoyang Li, Heng Chang, Zeyang Zhang, Yijian Qin, Jiyan Jiang, Xin Wang, and Wenwu Zhu
    In ICLR 2021 Workshop GTRL, 2021
  3. NeurIPS’21
    Graph differentiable architecture search with structure learning
    Yijian Qin, Xin WangZeyang Zhang, and Wenwu Zhu
    In Thirty-Fifth Conference on Neural Information Processing Systems, 2021
  4. Arxiv
    Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need?
    Ziwei ZhangXin WangZeyang Zhang, Peng Cui, and Wenwu Zhu
    arXiv preprint arXiv:2112.12345, 2021