Pengfei Jiao

School of Cyberspace , Hangzhou Dianzi University , China

11 papers in the IJCAI proceedings

IJCAI 2026

Dynamic Heterogeneous Graph Representation Learning: A Survey

with Huan Liu, Jie Yin, Hongjiang Chen, Zhidong Zhao

doi:10.24963/ijcai.2026/881

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Unsupervised Graph-Level Anomaly Detection via Multi-granular Graph Structure Learning

with Ge Zhang, Huimei Li, Guohao Sun, Xiu Fang, Xixun Lin, Xiaobao Wang, Liang Yang

doi:10.24963/ijcai.2026/355

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IJCAI 2025

A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities

with Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin

doi:10.24963/ijcai.2025/1166

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FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity

with Zian Zhou, Meiting Xue, Huijun Tang, Zhidong Zhao, HuaMing Wu

doi:10.24963/ijcai.2025/333

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HGMP: Heterogeneous Graph Multi-Task Prompt Learning

with Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi

doi:10.24963/ijcai.2025/332

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HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model

with Yuling Wang, Zihui Chen, Xiao Wang

doi:10.24963/ijcai.2025/384

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Heterogeneous Temporal Hypergraph Neural Network

with Huan Liu, Mengzhou Gao, Chaochao Chen, Di Jin

doi:10.24963/ijcai.2025/347

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IJCAI 2021

Learning Stochastic Equivalence based on Discrete Ricci Curvature

with Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang

doi:10.24963/ijcai.2021/201

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Self-Guided Community Detection on Networks with Missing Edges

with Dongxiao He, Shuai Li, Di Jin, Yuxiao Huang

doi:10.24963/ijcai.2021/483

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IJCAI 2019

Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks

with Di Jin, Bingyi Li, Dongxiao He, Weixiong Zhang

doi:10.24963/ijcai.2019/370

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IJCAI 2018

Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics

with Ge Zhang, Di Jin, Jian Gao, Françoise Fogelman-Soulié, Xin Huang

doi:10.24963/ijcai.2018/507

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Future Conferences

AI Journal Division

IJCAI Proceedings