Yiyang Gu
Yiyang Gu
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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
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
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
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
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
Graphine: A dataset for graph-aware terminology definition generation
Z Liu, S Wang, Y Gu, R Zhang, M Zhang, S Wang
EMNLP 2021, 2021
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
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
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
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
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
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
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics
X Luo, Y Gu, H Jiang, J Huang, W Ju, M Zhang, Y Sun
arXiv preprint arXiv:2311.06554, 2023
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
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
arXiv preprint arXiv:2401.16011, 2024
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