Abstract: Graph representation learning (GRL) is fundamental in multi-graph applications like molecular property prediction. Graph neural networks (GNNs) have emerged as a popular method for GRL.
Abstract: Graph Neural Networks (GNNs) have demonstrated significant potential in Human Activity Recognition (HAR) by modeling topological relationships in sensor data. However, traditional GNNs ...
A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge ...
A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge ...
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