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Found 4 papers, 2 papers with code
IGCN: Integrative Graph Convolutional Networks for Multi-modal Data
Addressing these restrictions, we introduce a novel integrative neural network approach for multi-modal data networks, named Integrative Graph Convolutional Networks (IGCN).
TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records
For interpretability, we propose employing a dual-level attention mechanism that operates between visits and features within each visit.
Current and future directions in network biology
As such, it is expected to help shape short- and long-term vision for future computational and algorithmic research in network biology.
GRAF: Graph Attention-aware Fusion Networks
Finally, GRAF utilizes Graph Convolutional Network (GCN) on the fused network and incorporates node features on graph-structured data for a node classification or a similar downstream task.
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