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Found 3 papers, 1 papers with code
Revisiting Inferential Benchmarks for Knowledge Graph Completion
A key feature of Machine Learning approaches for KG completion is their ability to learn inference patterns, so that the predicted facts are the results of applying these patterns to the KG.
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding
The aim of knowledge graph (KG) completion is to extend an incomplete KG with missing triples.
Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network
Audio scene classification, the problem of predicting class labels of audio scenes, has drawn lots of attention during the last several years.
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