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Tong Zhao
Tong Zhao
Research Scientist at Snap
Verified email at snap.com - Homepage
Title
Cited by
Cited by
Year
Data Augmentation for Graph Neural Networks
T Zhao, Y Liu, L Neves, O Woodford, M Jiang, N Shah
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11015 …, 2021
3782021
A unified view on graph neural networks as graph signal denoising
Y Ma, X Liu, T Zhao, Y Liu, J Tang, N Shah
Proceedings of the 30th ACM International Conference on Information …, 2021
1542021
Learning from Counterfactual Links for Link Prediction
T Zhao, G Liu, D Wang, W Yu, M Jiang
International Conference on Machine Learning, 26911-26926, 2022
98*2022
Graph Data Augmentation for Graph Machine Learning: A Survey
T Zhao, W Jin, Y Liu, Y Wang, G Liu, S Günnemann, N Shah, M Jiang
IEEE Data Engineering Bulletin, 2023
912023
Graph Rationalization with Environment-based Augmentations
G Liu, T Zhao, J Xu, T Luo, M Jiang
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
602022
Error-bounded graph anomaly loss for gnns
T Zhao, C Deng, K Yu, T Jiang, D Wang, M Jiang
Proceedings of the 29th ACM International Conference on Information …, 2020
592020
Empowering graph representation learning with test-time graph transformation
W Jin, T Zhao, J Ding, Y Liu, J Tang, N Shah
International Conference on Learning Representations, 2023
512023
The Role of "Condition" A Novel Scientific Knowledge Graph Representation and Construction Model
T Jiang, T Zhao, B Qin, T Liu, NV Chawla, M Jiang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
492019
A synergistic approach for graph anomaly detection with pattern mining and feature learning
T Zhao, T Jiang, N Shah, M Jiang
IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2393-2405, 2021
452021
Linkless Link Prediction via Relational Distillation
Z Guo, W Shiao, S Zhang, Y Liu, N Chawla, N Shah, T Zhao
International Conference on Machine Learning, 2023
332023
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
X Han, T Zhao, Y Liu, X Hu, N Shah
International Conference on Learning Representations, 2023
322023
Federated dynamic gnn with secure aggregation
M Jiang, T Jung, R Karl, T Zhao
arXiv preprint arXiv:2009.07351, 2020
322020
Identifying referential intention with heterogeneous contexts
W Yu, M Yu, T Zhao, M Jiang
Proceedings of The Web Conference 2020, 962-972, 2020
312020
Diversifying content generation for commonsense reasoning with mixture of knowledge graph experts
W Yu, C Zhu, L Qin, Z Zhang, T Zhao, M Jiang
Annual Meeting of the Association for Computational Linguistics, 2022
292022
Action Sequence Augmentation for Early Graph-based Anomaly Detection
T Zhao, B Ni, W Yu, Z Guo, N Shah, M Jiang
ACM International Conference on Information & Knowledge Management, 2021
29*2021
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
M Ju, W Yu, T Zhao, C Zhang, Y Ye
Empirical Methods in Natural Language Processing, 2022
272022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
M Ju, T Zhao, Q Wen, W Yu, N Shah, Y Ye, C Zhang
International Conference on Learning Representations, 2023
242023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
H Mao, Z Chen, W Jin, H Han, Y Ma, T Zhao, N Shah, J Tang
Conference on Neural Information Processing Systems, 2023
232023
Federated dynamic graph neural networks with secure aggregation for video-based distributed surveillance
M Jiang, T Jung, R Karl, T Zhao
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-23, 2022
182022
Link Prediction with Non-Contrastive Learning
W Shiao, Z Guo, T Zhao, EE Papalexakis, Y Liu, N Shah
International Conference on Learning Representations, 2023
172023
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