Knowledge graph completion aims to address knowledge gaps caused by difficulties in collecting real-world facts. This paper proposes a novel dual-view graph neural network model, DGE-ASR, which ...

Multimodal knowledge graph embedding refers to learning multimodal entities and their relation representations in a low-dimensional space. However, existing multimodal embedding models tend to ignore ...

You have access to the Memento MCP knowledge graph memory system, which provides you with persistent memory capabilities. Your memory tools are provided by Memento MCP, a sophisticated knowledge graph ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

The Trump administration's decision to shelve a crucial $15 million federal grant jeopardises vital climate research, leaving ...

More scientists are beginning to feel that crunch.