Jianan Zhao
Jianan Zhao
Mila - Quebec AI Institute
Verified email at - Homepage
Cited by
Cited by
Heterogeneous graph structure learning for graph neural networks
J Zhao, X Wang, C Shi, B Hu, G Song, Y Ye
AAAI conference on artificial intelligence (AAAI21), 2021
Network schema preserving heterogeneous information network embedding
J Zhao, X Wang, C Shi, Z Liu, Y Ye
International joint conference on artificial intelligence (IJCAI20), 2020
Learning on Large-scale Text-attributed Graphs via Variational Inference
J Zhao, M Qu, C Li, H Yan, Q Liu, R Li, X Xie, J Tang
Eleventh International Conference on Learning Representations (ICLR23 oral), 2022
Gophormer: Ego-graph transformer for node classification
J Zhao, C Li, Q Wen, Y Wang, Y Liu, H Sun, X Xie, Y Ye
arXiv preprint arXiv:2110.13094, 2021
HousE: Knowledge Graph Embedding with Householder Parameterization
R Li, J Zhao, C Li, D He, Y Wang, Y Liu, H Sun, S Wang, W Deng, Y Shen, ...
International Conference on Machine Learning (ICML22), 2022
Multi-view Self-supervised Heterogeneous Graph Embedding
J Zhao, Q Wen, S Sun, Y Ye, C Zhang
Machine Learning and Knowledge Discovery in Databases. Research European …, 2021
Improving relevance modeling via heterogeneous behavior graph learning in bing ads
B Pang, C Li, Y Liu, J Lian, J Zhao, H Sun, W Deng, X Xie, Q Zhang
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD22), 2022
Adaptive Kernel Graph Neural Network
M Ju, S Hou, Y Fan, J Zhao, L Zhao, Y Ye
AAAI Conference on Artificial Intelligence (AAAI21), 2021
Rxnet: Rx-refill graph neural network for overprescribing detection
J Zhang, AT Kuo, J Zhao, Q Wen, E Winstanley, C Zhang, Y Ye
ACM International Conference on Information & Knowledge Management (CIKM21), 2021
Prohibited item detection via risk graph structure learning
Y Ji, G Chu, X Wang, C Shi, J Zhao, J Du
The ACM Web Conference (WWW22), 2022
Graphtext: Graph reasoning in text space
J Zhao, L Zhuo, Y Shen, M Qu, K Liu, M Bronstein, Z Zhu, J Tang
arXiv preprint arXiv:2310.01089, 2023
Self-Supervised Graph Structure Refinement for Graph Neural Networks
J Zhao, Q Wen, M Ju, C Zhang, Y Ye
ACM International Conference on Web Search and Data Mining (WSDM23), 2022
Test-time training for graph neural networks
Y Wang, C Li, W Jin, R Li, J Zhao, J Tang, X Xie
arXiv preprint arXiv:2210.08813, 2022
Coupled semi-supervised clustering: Exploring attribute correlations in heterogeneous information networks
J Zhao, D Xiao, L Hu, C Shi
Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019 …, 2019
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
R Li, X Chen, C Li, Y Shen, J Zhao, Y Wang, W Han, H Sun, W Deng, ...
ACL 2023, 2023
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks
J Zhang, AT Kuo, J Zhao, Q Wen, E Winstanley, C Zhang, Y Ye
The 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022
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