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cs.LG2024★ 1 cited
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation
Weihua Wang, Qiuyu Liang, Feilong Bao +1
Quaternion contains one real part and three imaginary parts, which provided a more expressive hypercomplex space for learning knowledge graph. Existing quaternion embedding models…
cs.LG2024★ 3 cited
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification
Qiuyu Liang, Weihua Wang, Feilong Bao +1
Linear Graph Convolutional Networks (GCNs) are used to classify the node in the graph data. However, we note that most existing linear GCN models perform neural network operations…