Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation-Reference-Cited by-同舟云学术

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Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Data Mining (ICDM)
language:
Short-container-title:

Author:

Wei Yuecen¹,Fu Xingcheng²,Sun Qingyun²,Peng Hao²,Wu Jia³,Wang Jinyan¹,Li Xianxian¹

Affiliation:

1. Guangxi Normal University,Guangxi Key Lab of Multi-source Information Mining & Security,Guilin,China

2. Beihang University,Beijing Advanced Innovation Center for Big Data and Brain Computing,Beijing,China

3. Macquarie University,School of Computing,Sydney,Australia

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10027565/10027596/10027714.pdf?arnumber=10027714

Reference47 articles.

1. Privacy Leakage via De-Anonymization and Aggregation in Heterogeneous Social Networks

2. Modeling relational data with graph convolutional networks;schlichtkrull;European semantic web conference ser Lecture Notes in Computer Science,2018

3. Graph Embedding for Recommendation against Attribute Inference Attacks

4. Heterogeneous Graph Neural Network

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1. CausalFD: causal invariance-based fraud detection against camouflaged preference;International Journal of Machine Learning and Cybernetics;2024-05-27

2. Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications;International Journal of Machine Learning and Cybernetics;2024-03-02

3. Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection;ACM Transactions on Knowledge Discovery from Data;2024-02-12

4. Exploiting Local Information with Subgraph Embedding for Graph Neural Networks;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04

5. Auto Graph Filtering for Bundle Recommendation;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01

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