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- affiliation: Arizona State University
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2020 – today
- 2023
[j81]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): 613-640 (2023)- [j80]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): 54-72 (2023) - [j79]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): 18:1-18:26 (2023) - [j78]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): 96-107 (2023) - [j77]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): 2430-2444 (2023) - [j76]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Graph Vulnerability and Robustness: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5915-5934 (2023) - [j75]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): 59:1-59:28 (2023) - [c237]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: 2440-2457 - [c236]Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang:
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. ALT 2023: 1074-1100 - [c235]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 - [c234]Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji:
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. ICLR 2023 - [c233]Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong:
Generative Graph Dictionary Learning. ICML 2023: 40749-40769 - [c232]Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong:
Reconstructing Graph Diffusion History from a Single Snapshot. KDD 2023: 1978-1988 - [c231]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: 2256-2268 - [c230]Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong:
Kernel Ridge Regression-Based Graph Dataset Distillation. KDD 2023: 2850-2861 - [c229]Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong:
Node Classification Beyond Homophily: Towards a General Solution. KDD 2023: 2862-2873 - [c228]Lihui Liu, Hanghang Tong:
Knowledge Graph Reasoning and Its Applications. KDD 2023: 5813-5814 - [c227]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: 517-525 - [c226]Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He:
Natural and Artificial Dynamics in GNNs: A Tutorial. WSDM 2023: 1252-1255 - [c225]Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong:
PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. WWW 2023: 372-382 - [c224]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: 1572-1583 - [c223]Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong:
Knowledge Graph Question Answering with Ambiguous Query. WWW 2023: 2477-2486 - [i78]Shengyu Feng, Hanghang Tong:
Concept Discovery for Fast Adapatation. CoRR abs/2301.07850 (2023) - [i77]Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong:
STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR abs/2302.05428 (2023) - [i76]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 abs/2302.11636 (2023) - [i75]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 abs/2302.12126 (2023) - [i74]Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
FairGen: Towards Fair Graph Generation. CoRR abs/2303.17743 (2023) - [i73]Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong:
Neural Multi-network Diffusion towards Social Recommendation. CoRR abs/2304.04994 (2023) - [i72]Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji:
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. CoRR abs/2305.12738 (2023) - [i71]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 abs/2305.18612 (2023) - [i70]Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong:
Reconstructing Graph Diffusion History from a Single Snapshot. CoRR abs/2306.00488 (2023) - [i69]Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong:
BeMap: Balanced Message Passing for Fair Graph Neural Network. CoRR abs/2306.04107 (2023) - [i68]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 abs/2306.07512 (2023) - [i67]Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He:
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. CoRR abs/2307.04338 (2023) - [i66]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 abs/2308.06441 (2023) - [i65]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 abs/2308.14181 (2023) - [i64]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 abs/2308.15651 (2023) - [i63]Yun-Yong Ko, Hanghang Tong, Sang-Wook Kim:
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning. CoRR abs/2309.05798 (2023) - [i62]Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong:
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation. CoRR abs/2309.13384 (2023) - 2022
- [j74]Lihui Liu, Ruining Zhao, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong:
Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms. IEEE Data Eng. Bull. 45(4): 19-38 (2022) - [j73]Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li:
Enhancing bug localization with bug report decomposition and code hierarchical network. Knowl. Based Syst. 248: 108741 (2022) - [j72]Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. SIGKDD Explor. 24(2): 61-77 (2022) - [j71]Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao:
Visual Analytics of Anomalous User Behaviors: A Survey. IEEE Trans. Big Data 8(2): 377-396 (2022) - [j70]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): 2605-2612 (2022) - [j69]Yu Wang, Hanghang Tong, Ziye Zhu, Yun Li:
Nested Named Entity Recognition: A Survey. ACM Trans. Knowl. Discov. Data 16(6): 108:1-108:29 (2022) - [j68]Chen Lin, Dugang Liu, Hanghang Tong, Yanghua Xiao:
Spiral of Silence and Its Application in Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(6): 2934-2947 (2022) - [j67]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Auditing Network Embedding: An Edge Influence Based Approach. IEEE Trans. Knowl. Data Eng. 34(11): 5211-5224 (2022) - [j66]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Trans. Inf. Syst. 40(2): 24:1-24:28 (2022) - [j65]Tiankai Xie, Yuxin Ma, Jian Kang, Hanghang Tong, Ross Maciejewski:
FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models. IEEE Trans. Vis. Comput. Graph. 28(1): 368-377 (2022) - [c222]Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying:
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning. AAAI 2022: 9118-9126 - [c221]Yian Wang, Jian Kang, Yinglong Xia, Jiebo Luo, Hanghang Tong:
iFiG: Individually Fair Multi-view Graph Clustering. IEEE Big Data 2022: 329-338 - [c220]Weikai Xu, Lihui Liu, Hanghang Tong:
ABM: Attention-based Message Passing Network for Knowledge Graph Completion. IEEE Big Data 2022: 339-348 - [c219]Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong:
Self-supervised Hypergraph Representation Learning. IEEE Big Data 2022: 505-514 - [c218]Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He:
Adaptive Knowledge Transfer on Evolving Domains. IEEE Big Data 2022: 1389-1394 - [c217]Wei Du, Xintao Wu, Hanghang Tong:
Fair Regression under Sample Selection Bias. IEEE Big Data 2022: 1435-1444 - [c216]Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
InfoFair: Information-Theoretic Intersectional Fairness. IEEE Big Data 2022: 1455-1464 - [c215]Lihui Liu, Houxiang Ji, Jiejun Xu, Hanghang Tong:
Comparative Reasoning for Knowledge Graph Fact Checking. IEEE Big Data 2022: 2309-2312 - [c214]Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong:
A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. IEEE Big Data 2022: 2932-2939 - [c213]Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong:
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. CIKM 2022: 894-904 - [c212]Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong:
Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. CIKM 2022: 2341-2351 - [c211]Zhenning Zhang, Boxin Du, Hanghang Tong:
SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. CIKM 2022: 4712-4716 - [c210]Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He:
DISCO: Comprehensive and Explainable Disinformation Detection. CIKM 2022: 4848-4852 - [c209]Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
An Invisible Black-Box Backdoor Attack Through Frequency Domain. ECCV (13) 2022: 396-413 - [c208]Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized Few-Shot Node Classification. ICDM 2022: 608-617 - [c207]Yuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong:
Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning. ICDM 2022: 1329-1334 - [c206]Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong:
Combining Code Context and Fine-grained Code Difference for Commit Message Generation. Internetware 2022: 242-251 - [c205]Jian Kang, Qinghai Zhou, Hanghang Tong:
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. KDD 2022: 742-752 - [c204]Haoran Li, Hanghang Tong, Yang Weng:
Domain Adaptation in Physical Systems via Graph Kernel. KDD 2022: 868-876 - [c203]Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong:
Fair Representation Learning: An Alternative to Mutual Information. KDD 2022: 1088-1097 - [c202]Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong:
Joint Knowledge Graph Completion and Question Answering. KDD 2022: 1098-1108 - [c201]Jian Kang, Hanghang Tong:
Algorithmic Fairness on Graphs: Methods and Trends. KDD 2022: 4798-4799 - [c200]Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He:
Improved Algorithms for Neural Active Learning. NeurIPS 2022 - [c199]Haoran Li, Yang Weng, Hanghang Tong:
CoNSoLe: Convex Neural Symbolic Learning. NeurIPS 2022 - [c198]Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He:
Deep Active Learning by Leveraging Training Dynamics. NeurIPS 2022 - [c197]Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong:
A Deep Learning Dataloader with Shared Data Preparation. NeurIPS 2022 - [c196]Shweta Jain, Hanghang Tong:
YACC: A Framework Generalizing TuránShadow for Counting Large Cliques. SDM 2022: 684-692 - [c195]Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. SIGIR 2022: 1728-1738 - [c194]Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong:
Structure Meets Sequences: Predicting Network of Co-evolving Sequences. WSDM 2022: 1090-1098 - [c193]Zhe Xu, Boxin Du, Hanghang Tong:
Graph Sanitation with Application to Node Classification. WWW 2022: 1136-1147 - [c192]Bolian Li, Baoyu Jing, Hanghang Tong:
Graph Communal Contrastive Learning. WWW 2022: 1203-1213 - [c191]Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong:
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. WWW 2022: 1214-1225 - [c190]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. WWW 2022: 1362-1371 - [i61]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. CoRR abs/2202.06491 (2022) - [i60]Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. CoRR abs/2202.08235 (2022) - [i59]Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong:
How to optimize an academic team when the outlier member is leaving? CoRR abs/2202.11608 (2022) - [i58]Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong:
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. CoRR abs/2202.13547 (2022) - [i57]Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He:
DISCO: Comprehensive and Explainable Disinformation Detection. CoRR abs/2203.04928 (2022) - [i56]Senrong Xu, Yuan Yao, Liangyue Li, Wei Yang, Feng Xu, Hanghang Tong:
Detecting Topology Attacks against Graph Neural Networks. CoRR abs/2204.10072 (2022) - [i55]Beidi Zhao, Boxin Du, Zhe Xu, Liangyue Li, Hanghang Tong:
Learning Optimal Propagation for Graph Neural Networks. CoRR abs/2205.02998 (2022) - [i54]He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei:
Trustworthy Graph Neural Networks: Aspects, Methods and Trends. CoRR abs/2205.07424 (2022) - [i53]Zhenning Zhang, Boxin Du, Hanghang Tong:
SUGER: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. CoRR abs/2205.11231 (2022) - [i52]Wenhao Ding, Qing He, Hanghang Tong, Ping Wang:
PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics. CoRR abs/2205.12262 (2022) - [i51]Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong:
COIN: Co-Cluster Infomax for Bipartite Graphs. CoRR abs/2206.00006 (2022) - [i50]Haoran Li, Yang Weng, Hanghang Tong:
CoNSoLe: Convex Neural Symbolic Learning. CoRR abs/2206.00257 (2022) - [i49]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. CoRR abs/2206.02921 (2022) - [i48]Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong:
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CoRR abs/2206.09477 (2022) - [i47]Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski:
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. CoRR abs/2207.00048 (2022) - [i46]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
ARIEL: Adversarial Graph Contrastive Learning. CoRR abs/2208.06956 (2022) - [i45]Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong:
Retrieval Based Time Series Forecasting. CoRR abs/2209.13525 (2022) - [i44]Wenhao Ding, Qing He, Hanghang Tong, Qingjing Wang, Ping Wang:
Solving practical multi-body dynamics problems using a single neural operator. CoRR abs/2210.00222 (2022) - [i43]Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He:
Improved Algorithms for Neural Active Learning. CoRR abs/2210.00423 (2022) - [i42]Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang:
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. CoRR abs/2210.01376 (2022) - [i41]Jian Kang, Qinghai Zhou, Hanghang Tong:
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. CoRR abs/2210.05959 (2022) - [i40]Chuxuan Hu, Qinghai Zhou, Hanghang Tong:
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network. CoRR abs/2211.04100 (2022) - 2021
- [j64]Ziye Zhu, Yun Li, Yu Wang, Yaojing Wang, Hanghang Tong:
A deep multimodal model for bug localization. Data Min. Knowl. Discov. 35(4): 1369-1392 (2021) - [j63]Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong:
How to Optimize an Academic Team When the Outlier Member is Leaving? IEEE Intell. Syst. 36(3): 23-30 (2021) - [j62]Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong:
Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. 63(1): 105-124 (2021) - [j61]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. SIAM J. Math. Data Sci. 3(2): 656-675 (2021) - [j60]Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. ACM Trans. Knowl. Discov. Data 15(2): 18:1-18:26 (2021) - [j59]Wei Wang, Feng Xia, Jian Wu, Zhiguo Gong, Hanghang Tong, Brian D. Davison:
Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction. ACM Trans. Knowl. Discov. Data 15(3): 40:1-40:19 (2021) - [j58]Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong:
Fast Connectivity Minimization on Large-Scale Networks. ACM Trans. Knowl. Discov. Data 15(3): 53:1-53:25 (2021) - [j57]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1763-1777 (2021) - [j56]Meijia Wang, Jian Kang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong:
Graph Ranking Auditing: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. 33(10): 3366-3380 (2021) - [j55]