Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction.
Luis H. M. TorresBernardete RibeiroJoel ArraisPublished in: ESANN (2023)
Keyphrases
- prediction accuracy
- chemical compounds
- prediction algorithm
- prediction model
- graph theory
- graph structure
- random walk
- visual features
- prediction error
- video sequences
- connected components
- graph matching
- graph model
- protein function prediction
- deep learning
- video shots
- weighted graph
- bipartite graph
- video content
- video data
- graph representation
- power system
- low dimensional
- feature extraction