Author

Xiaochun Cao

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#graph neural networks Nov 2026

Entity-Dependent Relation Learning for Knowledge Graph Completion

Knowledge graph completion (KGC) aims to predict missing relationships between pairs of entities. Recently, Message Passing Neural Networks (MPNNs) have been employed in KGC and demonstrated superior ability in embedding learning. Current methods, however, face two major dilemmas. One focuses on learning complex entity...

Kang-Ye Wang, Peng-Wen Dai, Chuan Wang et al. · IEEE Transactions on Knowled... · 0 citations

2026

Differential Privacy Enabled Cascaded Filter for Efficient and Privacy-Preserving Federated Learning

Federated learning (FL) enables collaborative model training across multiple clients in a privacy-preserving manner. However, the employment of homomorphic encryption algorithms might lead to high computational cost while the application of differential privacy (DP) methods would sacrifice model performance. To establi...

Zhiqiang Chen, Yuchen Jiang, Ray Y. Zhong et al. · IEEE Transactions on Informa... · 0 citations