Hanghang Tong

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 353

Top Venues

CoRR

KDD

CIKM

IEEE Trans. Knowl. Data Eng.

Publications

He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends. Proc. IEEE 112 (2) (2024)
Qing Chen, Nan Chen, Wei Shuai, Guande Wu, Zhe Xu, Hanghang Tong, Nan Cao
Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong
PaCEr: Network Embedding From Positional to Structural. WWW (2024)
Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong
AIM: Attributing, Interpreting, Mitigating Data Unfairness. KDD (2024)
Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong
Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph. ACL (Findings) (2024)
Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. CoRR (2024)
Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong
Hierarchical Multi-Marginal Optimal Transport for Network Alignment. AAAI (2024)
Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
Masked Graph Transformer for Large-Scale Recommendation. SIGIR (2024)
Lihui Liu, Zihao Wang, Jiaxin Bai, Yangqiu Song, Hanghang Tong
New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends. WWW (Companion Volume) (2024)
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
Neural Active Learning Beyond Bandits. CoRR (2024)
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
Heterogeneous Contrastive Learning for Foundation Models and Beyond. KDD (2024)
Xiaodong Yang, Huiyuan Chen, Yuchen Yan, Yuxin Tang, Yuying Zhao, Eric Xu, Yiwei Cai, Hanghang Tong
SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering. CoRR (2024)
Chuxuan Hu, Qinghai Zhou, Hanghang Tong
Genius: Subteam Replacement with Clustering-based Graph Neural Networks. SDM (2024)
Michael C. Loui, Nigel Bosch, Anita Say Chan, Jenny L. Davis, Rochelle Gutiérrez, Jingrui He, Karrie Karahalios, Sanmi Koyejo, Ruby Mendenhall, Madelyn Rose Sanfilippo, Hanghang Tong, Lav R. Varshney, Yang Wang
Artificial Intelligence, Social Responsibility, and the Roles of the University. Commun. ACM 67 (8) (2024)
Jun Wu, Jingrui He, Hanghang Tong
Distributional Network of Networks for Modeling Data Heterogeneity. KDD (2024)
Ruizhong Qiu, Weiliang Will Zeng, Hanghang Tong, James Ezick, Christopher Lott
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark. CoRR (2024)
Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
Discrete-state Continuous-time Diffusion for Graph Generation. CoRR (2024)
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
Neural Active Learning Beyond Bandits. ICLR (2024)
Eunice Chan, Zhining Liu, Ruizhong Qiu, Yuheng Zhang, Ross Maciejewski, Hanghang Tong
Group Fairness via Group Consensus. FAccT (2024)
Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
Masked Graph Transformer for Large-Scale Recommendation. CoRR (2024)
Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, Yangqiu Song
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? CoRR (2024)
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
Fairgen: Towards Fair Graph Generation. ICDE (2024)
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
Heterogeneous Contrastive Learning for Foundation Models and Beyond. CoRR (2024)
Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong
Deceptive Fairness Attacks on Graphs via Meta Learning. ICLR (2024)
Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong
Generalized few-shot node classification: toward an uncertainty-based solution. Knowl. Inf. Syst. 66 (2) (2024)
Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, Yangqiu Song
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? ACL (1) (2024)
Ruizhong Qiu, Hanghang Tong
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. CoRR (2024)
Weilin Cong, Jian Kang, Hanghang Tong, Mehrdad Mahdavi
On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method. CoRR (2024)
Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
Sterling: Synergistic Representation Learning on Bipartite Graphs. AAAI (2024)
Weizhi Fei, Zihao Wang, Hang Yin, Yang Duan, Hanghang Tong, Yangqiu Song
Soft Reasoning on Uncertain Knowledge Graphs. CoRR (2024)
Blaine Hill, Lihui Liu, Hanghang Tong
Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform. WSDM (2024)
Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong
Ensuring User-side Fairness in Dynamic Recommender Systems. WWW (2024)
Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Kang Liu, Jun Zhao
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering. CoRR (2024)
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
ArieL: Adversarial Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Zexing Xu, Linjun Zhang, Sitan Yang, Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data. CoRR (2024)
Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong
AIM: Attributing, Interpreting, Mitigating Data Unfairness. CoRR (2024)
Yun-Yong Ko, Seongeun Ryu, Soeun Han, Yeongseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim
KHAN: Knowledge-Aware Hierarchical Attention Networks for Political Stance Prediction. CoRR (2023)
Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi
Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR (2023)
Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong
PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. WWW (2023)
Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong
From Trainable Negative Depth to Edge Heterophily in Graphs. NeurIPS (2023)
Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction. WWW (2023)
Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR (2023)
Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
ELEGANT: Certified Defense on the Fairness of Graph Neural Networks. CoRR (2023)
Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. ALT (2023)
Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. CoRR (2023)
Lei Shi, Yuankai Luo, Shuai Ma, Hanghang Tong, Zhetao Li, Xiatian Zhang, Zhiguang Shan
Mobility Inference on Long-Tailed Sparse Trajectory. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong
Generative Graph Dictionary Learning. ICML (2023)
Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He
Natural and Artificial Dynamics in GNNs: A Tutorial. WSDM (2023)
Lihui Liu, Hanghang Tong
Knowledge Graph Reasoning and Its Applications. KDD (2023)
Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong
Hierarchical Multi-Marginal Optimal Transport for Network Alignment. CoRR (2023)
Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi
Do We Really Need Complicated Model Architectures For Temporal Networks? CoRR (2023)
Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong
Neural Multi-network Diffusion towards Social Recommendation. CoRR (2023)
Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong
Reconciling Competing Sampling Strategies of Network Embedding. NeurIPS (2023)
Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation. ACM Trans. Inf. Syst. 41 (3) (2023)
Shengyu Feng, Hanghang Tong
Concept Discovery for Fast Adaptation. SDM (2023)
Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong
Learning Node Abnormality with Weak Supervision. CIKM (2023)
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65 (2) (2023)
Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau
Graph Vulnerability and Robustness: A Survey. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Zihao Wang, Yongqiang Chen, Yang Duan, Weijiang Li, Bo Han, James Cheng, Hanghang Tong
Towards out-of-distribution generalizable predictions of chemical kinetics properties. CoRR (2023)
Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen
Decoupled Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong
Conversational Question Answering with Reformulations over Knowledge Graph. CoRR (2023)
Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong
Kernel Ridge Regression-Based Graph Dataset Distillation. KDD (2023)
Hyunsik Yoo, Zhichen Zeng, Jian Kang, Zhining Liu, David Zhou, Fei Wang, Eunice Chan, Hanghang Tong
Ensuring User-side Fairness in Dynamic Recommender Systems. CoRR (2023)
Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew J. Margenot, Hanghang Tong
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. CoRR (2023)
Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong
Reconstructing Graph Diffusion History from a Single Snapshot. CoRR (2023)
Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong
MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. WSDM (2023)
Si Zhang, Yinglong Xia, Yan Zhu, Hanghang Tong
Representation Learning on Dynamic Network of Networks. SDM (2023)
Shengyu Feng, Hanghang Tong
Concept Discovery for Fast Adapatation. CoRR (2023)
Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
Invariant Graph Transformer. CoRR (2023)
Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. ACL (Findings) (2023)
Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. KDD (2023)
Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. CoRR (2023)
Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong
Knowledge Graph Question Answering with Ambiguous Query. WWW (2023)
Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong
On the Vulnerability of Graph Learning-based Collaborative Filtering. ACM Trans. Inf. Syst. 41 (4) (2023)
Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong
Node Classification Beyond Homophily: Towards a General Solution. KDD (2023)
Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong
Reconstructing Graph Diffusion History from a Single Snapshot. KDD (2023)
Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li
BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. SIGKDD Explor. 25 (1) (2023)
Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong
BeMap: Balanced Message Passing for Fair Graph Neural Network. LoG (2023)
Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
Topological Augmentation for Class-Imbalanced Node Classification. CoRR (2023)
Yun-Yong Ko, Hanghang Tong, Sang-Wook Kim
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning. CoRR (2023)
Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong
Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
FairGen: Towards Fair Graph Generation. CoRR (2023)
Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong
Deceptive Fairness Attacks on Graphs via Meta Learning. CoRR (2023)
Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation. CoRR (2023)
Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. ICLR (2023)
Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. CoRR (2023)
Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong
BeMap: Balanced Message Passing for Fair Graph Neural Network. CoRR (2023)
Qing Chen, Nan Chen, Wei Shuai, Guande Wu, Zhe Xu, Hanghang Tong, Nan Cao
Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-link Diagrams. CoRR (2023)
Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CIKM (2023)
Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. CoRR (2022)
Wei Du, Xintao Wu, Hanghang Tong
Fair Regression under Sample Selection Bias. Big Data (2022)
Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong
A Deep Learning Dataloader with Shared Data Preparation. NeurIPS (2022)
Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He
Adaptive Knowledge Transfer on Evolving Domains. Big Data (2022)
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
ARIEL: Adversarial Graph Contrastive Learning. CoRR (2022)
Chuxuan Hu, Qinghai Zhou, Hanghang Tong
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network. CoRR (2022)
Haoran Li, Yang Weng, Hanghang Tong
CoNSoLe: Convex Neural Symbolic Learning. CoRR (2022)
Jian Kang, Hanghang Tong
Algorithmic Fairness on Graphs: Methods and Trends. KDD (2022)
Weikai Xu, Lihui Liu, Hanghang Tong
ABM: Attention-based Message Passing Network for Knowledge Graph Completion. Big Data (2022)
Jieli Zhou, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong
SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hanghang Tong