Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks-Reference-Cited by-同舟云学术

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Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks

Published:2024-05-13 Issue: Volume:33 Page:2765-2778
ISSN:
Container-title:2024 IEEE 40th International Conference on Data Engineering (ICDE)
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Author:

Li Yuan¹,Chen Xiuxu¹,Zhao Yuhai²,Shan Wen³,Wang Zhengkui⁴,Yang Guoli⁵,Wang Guoren⁶

Affiliation:

1. North China University of Technology,China

2. Northeastern University,China

3. Singapore University of Social Sciences,Singapore

4. Singapore Institute of Technology,Singapore

5. Advanced Institute of Big Data,Beijing,China

6. Beijing Institute of Technology,China

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10597630/10597390/10597879.pdf?arnumber=10597879

Reference61 articles.

1. A survey of typical attributed graph queries

2. A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

3. Semi-supervised Clustering in Attributed Heterogeneous Information Networks

4. Relation strength-aware clustering of heterogeneous information networks with incomplete attributes

5. Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism

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