Tong Zhao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 67

Top Topics

Graph Representation

Message Passing

Link Prediction

Top Venues

Publications

Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. ICLR (2024)
Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman
Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion. SIGIR (2024)
Tong Zhao, Neil Shah, Elham Ghazizadeh
Learning from Graphs Beyond Message Passing Neural Networks. Tiny Papers @ ICLR (2024)
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Revisiting Link Prediction: a data perspective. ICLR (2024)
Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed
The 5th International Workshop on Machine Learning on Graphs (MLoG). WSDM (2024)
Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
Neural Scaling Laws on Graphs. CoRR (2024)
Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra
Multimodal Graph Benchmark. CoRR (2024)
William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu
Improving Out-of-Vocabulary Handling in Recommendation Systems. CoRR (2024)
Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
How Does Message Passing Improve Collaborative Filtering? CoRR (2024)
Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla
Node Duplication Improves Cold-start Link Prediction. CoRR (2024)
William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
CARL-G: Clustering-Accelerated Representation Learning on Graphs. CoRR (2023)
William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
CARL-G: Clustering-Accelerated Representation Learning on Graphs. KDD (2023)
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. CoRR (2023)
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. NeurIPS (2023)
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. ICLR (2023)
Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang
Semi-Supervised Graph Imbalanced Regression. KDD (2023)
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? CoRR (2023)
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Revisiting Link Prediction: A Data Perspective. CoRR (2023)
Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
Data-Centric Learning from Unlabeled Graphs with Diffusion Model. NeurIPS (2023)
William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
Link Prediction with Non-Contrastive Learning. ICLR (2023)
Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao
Graph Transformers for Large Graphs. CoRR (2023)
Daheng Wang, Tong Zhao, Wenhao Yu, Nitesh V. Chawla, Meng Jiang
Deep Multimodal Complementarity Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
Empowering Graph Representation Learning with Test-Time Graph Transformation. ICLR (2023)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. ICLR (2023)
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
Linkless Link Prediction via Relational Distillation. ICML (2023)
Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang
Graph Data Augmentation for Graph Machine Learning: A Survey. IEEE Data Eng. Bull. 46 (2) (2023)
Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
Large-Scale Graph Neural Networks: The Past and New Frontiers. KDD (2023)
Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
Empowering Graph Representation Learning with Test-Time Graph Transformation. CoRR (2022)
Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
Graph Rationalization with Environment-based Augmentations. KDD (2022)
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
Flashlight: Scalable Link Prediction With Effective Decoders. LoG (2022)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. CoRR (2022)
Meng Jiang, Taeho Jung, Ryan Karl, Tong Zhao
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
Learning from Counterfactual Links for Link Prediction. ICML (2022)
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. CoRR (2022)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. EMNLP (Findings) (2022)
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
Linkless Link Prediction via Relational Distillation. CoRR (2022)
Tong Zhao, Gang Liu, Stephan Günnemann, Meng Jiang
Graph Data Augmentation for Graph Machine Learning: A Survey. CoRR (2022)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. ACL (Findings) (2022)
Tong Zhao, Tianwen Jiang, Neil Shah, Meng Jiang
A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
Graph Rationalization with Environment-based Augmentations. CoRR (2022)
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
Flashlight: Scalable Link Prediction with Effective Decoders. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. CoRR (2022)
William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
Link Prediction with Non-Contrastive Learning. CoRR (2022)
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
Counterfactual Graph Learning for Link Prediction. CoRR (2021)
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM (2021)
Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
Biomedical Knowledge Graphs Construction From Conditional Statements. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang
Action Sequence Augmentation for Early Graph-based Anomaly Detection. CIKM (2021)
Daheng Wang, Tong Zhao, Nitesh V. Chawla, Meng Jiang
Dynamic Attributed Graph Prediction with Conditional Normalizing Flows. ICDM (2021)
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
Data Augmentation for Graph Neural Networks. AAAI (2021)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
Sentence-Permuted Paragraph Generation. EMNLP (1) (2021)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
Sentence-Permuted Paragraph Generation. CoRR (2021)
Tong Zhao, Bo Ni, Wenhao Yu, Meng Jiang
Early Anomaly Detection by Learning and Forecasting Behavior. CoRR (2020)
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR (2020)
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
Data Augmentation for Graph Neural Networks. CoRR (2020)
Yang Zhou, Tong Zhao, Meng Jiang
A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction. CoRR (2020)
Wenhao Yu, Mengxia Yu, Tong Zhao, Meng Jiang
Identifying Referential Intention with Heterogeneous Contexts. WWW (2020)
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network. CoRR (2020)
Meng Jiang, Taeho Jung, Ryan Karl, Tong Zhao
Federated Dynamic GNN with Secure Aggregation. CoRR (2020)
Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang
Error-Bounded Graph Anomaly Loss for GNNs. CIKM (2020)
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. CoRR (2020)
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. KDD (2019)
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. CoRR (2019)
Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
CTGA: Graph-based Biomedical Literature Search. BIBM (2019)
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. EMNLP/IJCNLP (1) (2019)
Tong Zhao, Matthew Malir, Meng Jiang
Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs. IEEE BigData (2018)