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Wei Ju(琚玮)
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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
69*2024
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning
X Luo*, W Ju*, M Qu, C Chen, M Deng, XS Hua, M Zhang
(ICDE 2022) IEEE International Conference on Data Engineering, 699-712, 2022
422022
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
382023
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
(TNNLS 2022) IEEE Transactions on Neural Networks and Learning Systems, 899 …, 2022
382022
Few-shot molecular property prediction via Hierarchically Structured Learning on Relation Graphs
W Ju*, Z Liu*, Y Qin, B Feng, C Wang, Z Guo, X Luo, M Zhang
Neural Networks 163, 122-131, 2023
342023
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification
W Ju*, X Luo*, Z Ma, J Yang, M Deng, M Zhang
Neural Networks 151, 70-79, 2022
342022
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
W Ju, J Yang, M Qu, W Song, J Shen, M Zhang
(WSDM 2022) ACM International Conference on Web Search and Data Mining, 421-429, 2022
342022
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
W Ju*, X Luo*, M Qu, Y Wang, C Chen, M Deng, XS Hua, M Zhang
(IJCAI 2022) International Joint Conference on Artificial Intelligence, 2122 …, 2022
322022
Glcc: A general framework for graph-level clustering
W Ju*, Y Gu*, B Chen, G Sun, Y Qin, X Liu, X Luo, M Zhang
(AAAI 2023 Oral) Proceedings of the AAAI Conference on Artificial …, 2023
292023
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation
Y Qin, Y Wang, F Sun, W Ju, X Hou, Z Wang, J Cheng, J Lei, M Zhang
(WSDM 2023) ACM International Conference on Web Search and Data Mining, 508–516, 2023
292023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
Y Zhao*, X Luo*, W Ju, C Chen, XS Hua, M Zhang
(ICDE 2023) IEEE International Conference on Data Engineering, 2023
232023
DisenCite: Graph-based Disentangled Representation Learning for Context-specific Citation Generation
Y Wang, Y Song, S Li, C Cheng, W Ju, M Zhang, S Wang
(AAAI 2022 Oral) Proceedings of the AAAI Conference on Artificial …, 2022
212022
Towards Semi-supervised Universal Graph Classification
X Luo, Y Zhao, Y Qin, W Ju, M Zhang
(TKDE 2023) IEEE Transactions on Knowledge and Data Engineering, 2023
182023
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning
X Luo*, W Ju*, Y Gu, Z Mao, L Liu, Y Yuan, M Zhang
(TKDD 2023) ACM Transactions on Knowledge Discovery from Data, 1–23, 2023
182023
Kernel-based Substructure Exploration for Next POI Recommendation
W Ju*, Y Qin*, Z Qiao, X Luo, Y Wang, Y Fu, M Zhang
(ICDM 2022 Best Paper Finalist) IEEE International Conference on Data Mining, 2022
182022
Learning on Graphs under Label Noise
J Yuan*, X Luo*, Y Qin, Y Zhao, W Ju, M Zhang
(ICASSP 2023) IEEE International Conference on Acoustics, Speech and Signal …, 2023
172023
Learning graph ODE for continuous-time sequential recommendation
Y Qin*, W Ju*, H Wu, X Luo, M Zhang
(TKDE 2024) IEEE Transactions on Knowledge and Data Engineering, 2024
162024
HOPE: High-order Graph ODE For Modeling Interacting Dynamics
X Luo, J Yuan, Z Huang, H Jiang, Y Qin, W Ju, M Zhang, Y Sun
(ICML 2023) International Conference on Machine Learning, 2023
152023
Improved Deep Unsupervised Hashing via Prototypical Learning
Z Ma*, W Ju*, X Luo, C Chen, XS Hua, G Lu
(ACMMM 2022) ACM International Conference on Multimedia, 659-667, 2022
142022
When does maml work the best? an empirical study on model-agnostic meta-learning in nlp applications
Z Liu, R Zhang, Y Song, W Ju, M Zhang
arXiv preprint arXiv:2005.11700, 2020
142020
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Articles 1–20