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Viewing Publication 1 - 100 from 338

2024

Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link DiagramsQing Chen 0001, Nan Chen, Wei Shuai, Guande Wu, Zhe Xu 0007, Hanghang Tong, Nan Cao 0001. tvcg, 30(1):562-572, January 2024. [doi]

Generalized few-shot node classification: toward an uncertainty-based solutionZhe Xu 0007, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong. kais, 66(2):1205-1229, February 2024. [doi]

ArieL: Adversarial Graph Contrastive LearningShengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong. tkdd, 18(4), May 2024. [doi]

Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a PlatformBlaine Hill, Lihui Liu, Hanghang Tong. wsdm 2024: 1066-1069 [doi]

Sterling: Synergistic Representation Learning on Bipartite GraphsBaoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu 0001, Hanghang Tong. AAAI 2024: 12976-12984 [doi]

Hierarchical Multi-Marginal Optimal Transport for Network AlignmentZhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu 0004, Hanghang Tong. AAAI 2024: 16660-16668 [doi]

Trustworthy Graph Neural Networks: Aspects, Methods, and TrendsHe Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei. pieee, 112(2):97-139, February 2024. [doi]

2023

Mobility Inference on Long-Tailed Sparse TrajectoryLei Shi 0002, Yuankai Luo, Shuai Ma 0001, Hanghang Tong, Zhetao Li, Xiatian Zhang, Zhiguang Shan. tist, 14(1), February 2023. [doi]

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph ReasoningRuijie Wang 0004, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher. acl 2023: 2440-2457 [doi]

Decoupled Representation Learning for Attributed NetworksHao Wang 0076, Defu Lian, Hanghang Tong, Qi Liu 0003, Zhenya Huang, Enhong Chen. tkde, 35(3):2430-2444, March 2023. [doi]

Do We Really Need Complicated Model Architectures For Temporal Networks?Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi. iclr 2023: [doi]

Geometric Matrix Completion via Sylvester Multi-Graph Neural NetworkBoxin Du, Changhe Yuan, Fei Wang 0001, Hanghang Tong. CIKM 2023: 3860-3864 [doi]

Concept Discovery for Fast AdaptationShengyu Feng, Hanghang Tong. sdm 2023: 577-585 [doi]

Graph Vulnerability and Robustness: A SurveyScott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau. tkde, 35(6):5915-5934, June 2023. [doi]

Natural and Artificial Dynamics in GNNs: A TutorialDongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He. wsdm 2023: 1252-1255 [doi]

Privacy-Preserving Graph Machine Learning from Data to Computation: A SurveyDongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He. sigkdd, 25(1):54-72, 2023. [doi]

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule LearningChi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji. iclr 2023: [doi]

KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance PredictionYun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim. WWW 2023: 1572-1583 [doi]

Knowledge Graph Reasoning and Its ApplicationsLihui Liu, Hanghang Tong. kdd 2023: 5813-5814 [doi]

Knowledge Graph Question Answering with Ambiguous QueryLihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong. WWW 2023: 2477-2486 [doi]

Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback GraphsHaipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang. alt 2023: 1074-1100 [doi]

Reconstructing Graph Diffusion History from a Single SnapshotRuizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong. kdd 2023: 1978-1988 [doi]

Networked Time Series Imputation via Position-aware Graph Enhanced Variational AutoencodersDingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong. kdd 2023: 2256-2268 [doi]

Kernel Ridge Regression-Based Graph Dataset DistillationZhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang 0007, Hanghang Tong. kdd 2023: 2850-2861 [doi]

MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized RecommendationSenrong Xu, Liangyue Li, Yuan Yao 0001, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong. wsdm 2023: 517-525 [doi]

On the Vulnerability of Graph Learning-based Collaborative FilteringSenrong Xu, Liangyue Li, Zenan Li, Yuan Yao 0001, Feng Xu 0007, Zulong Chen, Quan Lu, Hanghang Tong. tois, 41(4), October 2023. [doi]

Node Classification Beyond Homophily: Towards a General SolutionZhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong. kdd 2023: 2862-2873 [doi]

Reconciling Competing Sampling Strategies of Network EmbeddingYuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang 0004, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong. nips 2023: [doi]

From Trainable Negative Depth to Edge Heterophily in GraphsYuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu 0003, Mahashweta Das, Hao Yang, Hanghang Tong. nips 2023: [doi]

Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding PerturbationHaibo Ye, Xinjie Li, Yuan Yao 0001, Hanghang Tong. tois, 41(3), 2023. [doi]

Embedding text-rich graph neural networks with sequence and topical semantic structuresZhizhi Yu, Di Jin 0001, Ziyang Liu, Dongxiao He, Xiao Wang 0017, Hanghang Tong, Jiawei Han 0001. kais, 65(2):613-640, February 2023. [doi]

Generative Graph Dictionary LearningZhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong. icml 2023: 40749-40769 [doi]

PARROT: Position-Aware Regularized Optimal Transport for Network AlignmentZhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong. WWW 2023: 372-382 [doi]

Representation Learning on Dynamic Network of NetworksSi Zhang, Yinglong Xia, Yan Zhu, Hanghang Tong. sdm 2023: 298-306 [doi]

Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast SolutionsQinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong. tkde, 35(1):96-107, 2023. [doi]

Learning Node Abnormality with Weak SupervisionQinghai Zhou, Kaize Ding, Huan Liu 0001, Hanghang Tong. CIKM 2023: 3584-3594 [doi]

BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial NetworkZiye Zhu, Hanghang Tong, Yu Wang 0072, Yun Li 0009. tkde, 35(11):11112-11125, November 2023. [doi]

2022

Spiral of Silence and Its Application in Recommender SystemsChen Lin 0001, Dugang Liu, Hanghang Tong, Yanghua Xiao. tkde, 34(6):2934-2947, 2022. [doi]

Domain Adaptation in Physical Systems via Graph KernelHaoran Li 0005, Hanghang Tong, Yang Weng. kdd 2022: 868-876 [doi]

YACC: A Framework Generalizing TuránShadow for Counting Large CliquesShweta Jain 0007, Hanghang Tong. sdm 2022: 684-692 [doi]

Visual Analytics of Anomalous User Behaviors: A SurveyYang Shi 0007, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao. tbd, 8(2):377-396, 2022. [doi]

Fair Regression under Sample Selection BiasWei Du 0009, Xintao Wu, Hanghang Tong. bigdataconf 2022: 1435-1444 [doi]

Adaptive Knowledge Transfer on Evolving DomainsJun Wu 0019, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He. bigdataconf 2022: 1389-1394 [doi]

Nested Named Entity Recognition: A SurveyYu Wang 0072, Hanghang Tong, Ziye Zhu, Yun Li 0009. tkdd, 16(6), 2022. [doi]

HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware RecommendationHao Wang 0076, Defu Lian, Hanghang Tong, Qi Liu 0003, Zhenya Huang, Enhong Chen. tois, 40(2), 2022. [doi]

Improved Algorithms for Neural Active LearningYikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He. nips 2022: [doi]

Data Augmentation for Deep Graph Learning: A SurveyKaize Ding, Zhe Xu, Hanghang Tong, Huan Liu 0001. sigkdd, 24(2):61-77, 2022. [doi]

Self-supervised Hypergraph Representation LearningBoxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong. bigdataconf 2022: 505-514 [doi]

Adversarial Graph Contrastive Learning with Information RegularizationShengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong. WWW 2022: 1362-1371 [doi]

DISCO: Comprehensive and Explainable Disinformation DetectionDongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He. CIKM 2022: 4848-4852 [doi]

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive LearningBaoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong. CIKM 2022: 894-904 [doi]

RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional NetworkJian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong. WWW 2022: 1214-1225 [doi]

Algorithmic Fairness on Graphs: Methods and TrendsJian Kang, Hanghang Tong. kdd 2022: 4798-4799 [doi]

JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional NetworksJian Kang, Qinghai Zhou, Hanghang Tong. kdd 2022: 742-752 [doi]

InfoFair: Information-Theoretic Intersectional FairnessJian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong. bigdataconf 2022: 1455-1464 [doi]

Graph Communal Contrastive LearningBolian Li, Baoyu Jing, Hanghang Tong. WWW 2022: 1203-1213 [doi]

Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-EncodersJinning Li, Huajie Shao, Dachun Sun, Ruijie Wang 0004, Yuchen Yan, Jinyang Li 0004, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher. sigir 2022: 1728-1738 [doi]

CoNSoLe: Convex Neural Symbolic LearningHaoran Li, Yang Weng, Hanghang Tong. nips 2022: [doi]

Comparative Reasoning for Knowledge Graph Fact CheckingLihui Liu, Houxiang Ji, JieJun Xu, Hanghang Tong. bigdataconf 2022: 2309-2312 [doi]

Joint Knowledge Graph Completion and Question AnsweringLihui Liu, Boxin Du, JieJun Xu, Yinglong Xia, Hanghang Tong. kdd 2022: 1098-1108 [doi]

Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and AlgorithmsLihui Liu, Ruining Zhao, Boxin Du, Yi Ren Fung, Heng Ji, JieJun Xu, Hanghang Tong. DEBU, 45(4):19-38, 2022. [doi]

Fair Representation Learning: An Alternative to Mutual InformationJi Liu, Zenan Li, Yuan Yao, Feng Xu 0007, Xiaoxing Ma, Miao Xu, Hanghang Tong. kdd 2022: 1088-1097 [doi]

Structure Meets Sequences: Predicting Network of Co-evolving SequencesYaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong. wsdm 2022: 1090-1098 [doi]

iFiG: Individually Fair Multi-view Graph ClusteringYian Wang, Jian Kang, Yinglong Xia, Jiebo Luo, Hanghang Tong. bigdataconf 2022: 329-338 [doi]

Deep Active Learning by Leveraging Training DynamicsHaonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He. nips 2022: [doi]

Auditing Network Embedding: An Edge Influence Based ApproachYaojing Wang, Yuan Yao 0001, Hanghang Tong, Feng Xu 0007, Jian Lu 0001. tkde, 34(11):5211-5224, 2022. [doi]

Schema-Guided Event Graph CompletionHongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han 0001, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji. akbc 2022: [doi]

An Invisible Black-Box Backdoor Attack Through Frequency DomainTong Wang, Yuan Yao 0001, Feng Xu 0007, Shengwei An, Hanghang Tong, Ting Wang. eccv 2022: 396-413 [doi]

A Survey of Explainable Graph Neural Networks for Cyber Malware AnalysisDana Warmsley, Alex Waagen, JieJun Xu, Zhining Liu, Hanghang Tong. bigdataconf 2022: 2932-2939 [doi]

A Deep Learning Dataloader with Shared Data PreparationJian Xie, Jingwei Xu 0001, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong. nips 2022: [doi]

FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining ModelsTiankai Xie, Yuxin Ma, Jian Kang, Hanghang Tong, Ross Maciejewski. tvcg, 28(1):368-377, 2022. [doi]

Combining Code Context and Fine-grained Code Difference for Commit Message GenerationShengbin Xu, Yuan Yao 0001, Feng Xu 0007, Tianxiao Gu, Hanghang Tong. internetware 2022: 242-251 [doi]

ABM: Attention-based Message Passing Network for Knowledge Graph CompletionWeikai Xu, Lihui Liu, Hanghang Tong. bigdataconf 2022: 339-348 [doi]

Graph Sanitation with Application to Node ClassificationZhe Xu, Boxin Du, Hanghang Tong. WWW 2022: 1136-1147 [doi]

Generalized Few-Shot Node ClassificationZhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu 0001, Hanghang Tong. icdm 2022: 608-617 [doi]

Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent NetworksYuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong. CIKM 2022: 2341-2351 [doi]

Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-LearningYuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong. icdm 2022: 1329-1334 [doi]

SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle RecommendationZhenning Zhang, Boxin Du, Hanghang Tong. CIKM 2022: 4712-4716 [doi]

Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement LearningYuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying. AAAI 2022: 9118-9126 [doi]

SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain AdaptationJieli Zhou, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong. tcbb, 19(5):2605-2612, 2022. [doi]

Enhancing bug localization with bug report decomposition and code hierarchical networkZiye Zhu, Hanghang Tong, Yu Wang 0072, Yun Li 0009. kbs, 248:108741, 2022. [doi]

2021

Individual Fairness for Graph Neural Networks: A Ranking based ApproachYushun Dong, Jian Kang, Hanghang Tong, Jundong Li. kdd 2021: 300-310 [doi]

Fairness-aware Agnostic Federated LearningWei Du, Depeng Xu, Xintao Wu, Hanghang Tong. sdm 2021: 181-189 [doi]

New Frontiers of Multi-Network Mining: Recent Developments and Future TrendBoxin Du, Si Zhang, Yuchen Yan, Hanghang Tong. kdd 2021: 4038-4039 [doi]

Sylvester Tensor Equation for Multi-Way AssociationBoxin Du, Lihui Liu, Hanghang Tong. kdd 2021: 311-321 [doi]

HDMI: High-order Deep Multiplex InfomaxBaoyu Jing, Chanyoung Park, Hanghang Tong. WWW 2021: 2414-2424 [doi]

Network of Tensor Time SeriesBaoyu Jing, Hanghang Tong, Yada Zhu. WWW 2021: 2425-2437 [doi]

Multiplex Graph Neural Network for Extractive Text SummarizationBaoyu Jing, Zeyu You, Tao Yang, Wei Fan 0001, Hanghang Tong. emnlp 2021: 133-139 [doi]

Fair Graph MiningJian Kang, Hanghang Tong. CIKM 2021: 4849-4852 [doi]

Neural-Answering Logical Queries on Knowledge GraphsLihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong. kdd 2021: 1087-1097 [doi]

KompaRe: A Knowledge Graph Comparative Reasoning SystemLihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, JieJun Xu, Hanghang Tong. kdd 2021: 3308-3318 [doi]

Unsupervised Attributed Network Embedding via Cross FusionGuosheng Pan, Yuan Yao 0001, Hanghang Tong, Feng Xu 0007, Jian Lu 0001. wsdm 2021: 797-805 [doi]

Event Time Extraction and Propagation via Graph Attention NetworksHaoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han 0001, Avi Sil, Hanghang Tong, Dan Roth. naacl 2021: 62-73 [doi]

DESTINE: Dense Subgraph Detection on Multi-Layered NetworksZhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, JieJun Xu, Hanghang Tong. CIKM 2021: 3558-3562 [doi]

BRIGHT: A Bridging Algorithm for Network AlignmentYuchen Yan, Si Zhang, Hanghang Tong. WWW 2021: 3907-3917 [doi]

Dynamic Knowledge Graph AlignmentYuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong. AAAI 2021: 4564-4572 [doi]

AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich NetworksZhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han 0001. icdm 2021: 837-846 [doi]

EventKE: Event-Enhanced Knowledge Graph EmbeddingZixuan Zhang, Hongwei Wang, Han Zhao, Hanghang Tong, Heng Ji. emnlp 2021: 1389-1400 [doi]

Balancing Consistency and Disparity in Network AlignmentSi Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo. kdd 2021: 2212-2222 [doi]

Attent: Active Attributed Network AlignmentQinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong. WWW 2021: 3896-3906 [doi]

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