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Works (14)

Learning Node Representations via Sketching the Generative Process with Events Benefits Link Prediction on Heterogeneous Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence
2025 | Journal article
DOI: 10.1109/TPAMI.2025.3535763
Contributors: Xuan Guo; Pengfei Jiao; Danyang Shi; Jie Li; Jinpeng Wang
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Counterfactual learning for higher-order relation prediction in heterogeneous information networks

Neural Networks
2025-03 | Journal article
DOI: 10.1016/j.neunet.2024.107024
Contributors: Xuan Guo; Jie Li; Pengfei Jiao; Wang Zhang; Tianpeng Li; Wenjun Wang
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Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks

Neurocomputing
2025-01 | Journal article
DOI: 10.1016/j.neucom.2024.128739
Contributors: Jie Li; Xuan Guo; Pengfei Jiao; Wenjun Wang
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Disentangled Representation Learning for Structural Role Discovery

IEEE Transactions on Computational Social Systems
2024 | Journal article
DOI: 10.1109/TCSS.2024.3404975
Contributors: Wang Zhang; Lin Pan; Xuan Guo; Pengfei Jiao
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HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs

IEEE Transactions on Big Data
2024 | Journal article
DOI: 10.1109/TBDATA.2024.3366085
Contributors: Huan Liu; Pengfei Jiao; Xuan Guo; Huaming Wu; Mengzhou Gao; Jilin Zhang
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Representation Learning on Heterostructures via Heterogeneous Anonymous Walks

IEEE Transactions on Neural Networks and Learning Systems
2024 | Journal article
DOI: 10.1109/TNNLS.2023.3234005
Contributors: Xuan Guo; Pengfei Jiao; Wang Zhang; Ting Pan; Mengyu Jia; Danyang Shi; Wenjun Wang
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Graph contrastive learning with node-level accurate difference

Fundamental Research
2024-09 | Journal article
DOI: 10.1016/j.fmre.2024.06.013
Contributors: Pengfei Jiao; Kaiyan Yu; Qing Bao; Ying Jiang; Xuan Guo; Zhidong Zhao
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Graph Contrastive Learning via Interventional View Generation

2024-05-13 | Conference paper
DOI: 10.1145/3589334.3645687
Contributors: Zengyi Wo; Minglai Shao; Wenjun Wang; Xuan Guo; Lu Lin
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Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction

2023 | Book chapter
DOI: 10.1007/978-3-031-44216-2_46
Contributors: Jinlin Hou; Xuan Guo; Jiye Liu; Jie Li; Lin Pan; Wenjun Wang
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Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism

IEEE Transactions on Cybernetics
2023-01 | Journal article
DOI: 10.1109/TCYB.2021.3094893
Contributors: Pengfei Jiao; Qiang Tian; Wang Zhang; Xuan Guo; Di Jin; Huaming Wu
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Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism

IEEE Transactions on Neural Networks and Learning Systems
2022-12 | Journal article
DOI: 10.1109/TNNLS.2021.3084957
Contributors: Pengfei Jiao; Xuan Guo; Xin Jing; Dongxiao He; Huaming Wu; Shirui Pan; Maoguo Gong; Wenjun Wang
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A Survey on Role-Oriented Network Embedding

IEEE Transactions on Big Data
2022-08-01 | Journal article
DOI: 10.1109/TBDATA.2021.3131610
Contributors: Pengfei Jiao; Xuan Guo; Ting Pan; Wang Zhang; Yulong Pei; Lin Pan
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Role-based network embedding via structural features reconstruction with degree-regularized constraint

Knowledge-Based Systems
2021-04 | Journal article
DOI: 10.1016/j.knosys.2021.106872
Contributors: Wang Zhang; Xuan Guo; Wenjun Wang; Qiang Tian; Lin Pan; Pengfei Jiao
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Deep Mutual Encode Model for Network Embedding From Structural Identity

IEEE Access
2019 | Journal article
DOI: 10.1109/ACCESS.2019.2958326
Contributors: Hongyao Ke; Yinghui Wang; Xuan Guo; Lin Pan; Pengfei Jiao; Wenjun Wang; Xiaoping Yang
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Peer review (7 reviews for 1 publication/grant)

Review activity for Knowledge-based systems. (7)
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