Network Alignment Papers

• Hierarchical Multi-Marginal Optimal Transport for Network Alignment. (AAAI 2024) Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, and Hanghang Tong. [paper][code]
• Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. (ICDE 2023) Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, and Jia Li. [paper][code]
• PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. (WWW 2023) Zhichen Zeng, Si Zhang, Yinglong Xia, and Hanghang Tong. [paper][code]
• WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning. (TKDE 2023) Li Liu, Penggang Chen, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, and Guoyin Wang. [paper][code]
• GTCAlign: Global Topology Consistency-Based Graph Alignment. (TKDE 2023) Chenxu Wang, Peijing Jiang, Xiangliang Zhang, Pinghui Wang, Tao Qin, and Xiaohong Guan. [paper][code]
• On the Power of Gradual Network Alignment Using Dual-Perception Similarities. (TPAMI 2023) Jin-Duk Park, Cong Tran, Won-Yong Shin, and Xin Cao. [paper][code]
• GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. (CIKM 2022) Jin-Duk Park, Cong Tran, Won-Yong Shin, and Xin Cao. [paper][code]
• Unsupervised Graph Alignment with Wasserstein Distance Discriminator. (KDD 2021) Ji Gao, Xiao Huang, and Jundong Li. [paper][code]
• Balancing Consistency and Disparity in Network Alignment. (KDD 2021) Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, and Yunsong Guo. [paper][code]
• Sylvester Tensor Equation for Multi-Way Association. (KDD 2021) Boxin Du, Lihui Liu, and Hanghang Tong. [paper][code]
• BRIGHT: A Bridging Algorithm for Network Alignment. (WWW 2021) Yuchen Yan, Si Zhang, and Hanghang Tong. [paper][code]
• Attent: Active Attributed Network Alignment. (WWW 2021) Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, and Hanghang Tong. [paper][code]
• NetTrans: Neural Cross-Network Transformation. (KDD 2020) Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, and Jiejun Xu. [paper][code]
• Graph Optimal Transport for Cross-Domain Alignment. (ICML 2020) Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, and Jingjing Liu. [paper][code]
• Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks. (ICDE 2020) Huynh Thanh Trung, Tong Van Vinh, Nguyen Thanh Tam, Hongzhi Yin, Matthias Weidlich, and Nguyen Quoc Viet Hung. [paper][code]
• Domain-Adversarial Network Alignment. (TKDE 2020) Huiting Hong, Xin Li, Yuangang Pan, and Ivor W. Tsang. [paper][code]
• Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching. (NeurIPS 2019) Hongteng Xu, Dixin Luo, and Lawrence Carin. [paper][code]
• Gromov-Wasserstein Learning for Graph Matching and Node Embedding (ICML 2019) Hongteng Xu, Dixin Luo, Hongyuan Zha, and Lawrence Carin [paper][code]
• Cross-Network Embedding for Multi-Network Alignment. (WWW 2019) Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, and Jingping Bi. [paper][code]
• Multilevel Network Alignment. (WWW 2019) Si Zhang, Hanghang Tong, Ross Maciejewski, and Tina Eliassi-Rad. [paper][code]
• REGAL: Representation Learning-based Graph Alignment. (CIKM 2018) Mark Heimann, Haoming Shen, Tara Safavi, and Danai Koutra. [paper][code]
• FINAL: Fast Attributed Network Alignmen. (KDD 2016) Si Zhang, and Hanghang Tong. [paper][code]
• Aligning Users Across Social Networks Using Network Embedding. (IJCAI 2016) Li Liu, William K. Cheung, Xin Li, and Lejian Liao. [paper][code]
• BIG-ALIGN: Fast Bipartite Graph Alignment. (ICDM 2013) Danai Koutra, Hanghang Tong, and David Lubensky. [paper][code]
• Algorithms for Large, Sparse Network Alignment Problems. (ICDM 2009) Mohsen Bayati, Margot Gerritsen, David F. Gleich, Amin Saberi, and Ying Wang. [paper][code]
• Global alignment of multiple protein interaction networks with application to functional orthology detection. (PNAS 2008) Rohit Singh, Jinbo Xu, and Bonnie Berger. [paper][code]