Knowledge Graph Embeddings

Artificial Intelligence Machine Learning

TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models

root February 12, 2024 0

The paper discusses TWIG (Topologically-Weighted Intelligence Generation), an innovative paradigm for simulating the output of Knowledge Graph Embeddings (KGEs) using a significantly lesser number of parameters. TWIG learns from inputs…

Artificial Intelligence Machine Learning

A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of Things

root October 24, 2023 0

The paper explores the application of Knowledge Graph Embeddings (KGE) and Graph Neural Networks (GNN) in the context of the Web of Things (WoT). The focus is on how these…

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Knowledge Graph Embeddings

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