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Keyword

heterogeneous graphs

Description: Graphs whose nodes, edges, or both represent multiple types of entities and relationships, commonly used to model complex information networks.
OpenAlex ID: keywords/heterogeneous-graphs
PathSim
2011 · Yizhou Sun, Jiawei Han, et al. · Proceedings of the VLDB Endowment · 1,870
Heterogeneous Graph Neural Network
2019 · Chuxu Zhang, Dongjin Song, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 1,491
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Social diversity promotes the emergence of cooperation in public goods games
2008 · Francisco C. Santos, Marta D. Santos, et al. · Nature · 1,443
Heterogeneous Information Network Embedding for Recommendation
2018 · Chuan Shi, Binbin Hu, et al. · IEEE Transactions on Knowledge and Data Engineering · 1,205
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A survey of heterogeneous information network analysis
2016 · Chuan Shi, Yitong Li, et al. · IEEE Transactions on Knowledge and Data Engineering · 1,114
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A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
2017 · Yunan Luo, Xinbin Zhao, et al. · Nature Communications · 917
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Personalized entity recommendation
2014 · Xiao Yu, Xiang Ren, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 714
Voter Model on Heterogeneous Graphs
2005 · V. Sood, S. Redner · Physical Review Letters · 701
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Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model
2018 · Binbin Hu, Chuan Shi, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 674
Mining heterogeneous information networks
2013 · Yizhou Sun, Jiawei Han · ACM SIGKDD Explorations Newsletter · 617
HIN2Vec
2017 · Tao-yang Fu, Wang-Chien Lee, et al. · 594
Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks
2017 · Huan Zhao, Quanming Yao, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 565
Ranking-based clustering of heterogeneous information networks with star network schema
2009 · Yizhou Sun, Yintao Yu, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 513
Microsoft Academic Graph: When experts are not enough
2020 · Kuansan Wang, Zhihong Shen, et al. · Quantitative Science Studies · 509
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Graph Transformer Networks
2019 · Yun, Seongjun, Jeong, Minbyul, et al. · arXiv (Cornell University) · 471
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Mining Heterogeneous Information Networks: Principles and Methodologies
2012 · Yizhou Sun, Jiawei Han · Synthesis lectures on data mining and knowledge discovery · 471
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
2022 · Xiao Wang, Deyu Bo, et al. · IEEE Transactions on Big Data · 438
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PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction
2017 · Zhu-Hong You, Zhi-An Huang, et al. · PLoS Computational Biology · 384
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Review Graph Based Online Store Review Spammer Detection
2011 · Guan Wang, Sihong Xie, et al. · Proceedings · 376
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
2020 · Le Wu, Junwei Li, et al. · IEEE Transactions on Knowledge and Data Engineering · 374
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Inferring anchor links across multiple heterogeneous social networks
2013 · Xiangnan Kong, Jiawei Zhang, et al. · Proceedings of the ... ACM International Conference on Information & Knowledge Management · 356
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
2019 · Shaohua Fan, Junxiong Zhu, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 354
SHINE
2018 · Hongwei Wang, Fuzheng Zhang, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 334
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Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
2020 · Zhiwei Liu, Yingtong Dou, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 302
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Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs
2016 · Emaad Manzoor, Sadegh M. Milajerdi, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 291
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Works count: 4,999
Citation count: 65,250
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