arXiv:2003.05809
KGvec2go -- Knowledge Graph Embeddings as a Service
원문 초록
In this paper, we present KGvec2go, a Web API for accessing and consuming graph embeddings in a light-weight fashion in downstream applications. Currently, we serve pre-trained embeddings for four knowledge graphs. We introduce the service and its usage, and we show further that the trained models have semantic value by evaluating them on multiple semantic benchmarks. The evaluation also reveals that the combination of multiple models can lead to a better outcome than the best individual model.
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A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
ConceptFormer: Towards Efficient Use of Knowledge-Graph Embeddings in Large Language Models
Comparison of Metadata Representation Models for Knowledge Graph Embeddings
Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching
Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
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