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Found 2 papers, 2 papers with code
Edge Attention-based Multi-Relational Graph Convolutional Networks
The proposed GCN model, which we call edge attention-based multi-relational GCN (EAGCN), jointly learns attention weights and node features in graph convolution.
VIGAN: Missing View Imputation with Generative Adversarial Networks
Especially, when certain samples miss an entire view of data, it creates the missing view problem.
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