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ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget

✨ Attention Information Extraction Enthusiasts ✨ I am excited to announce the release of our latest paper and model family, ReLiK, a cutting-edge… | 33 comments on LinkedIn

#AI #LLM #KnowledgeGraph #technical #open source #research

·linkedin.com·Aug 6, 2024

ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget

Unlocking the Secrets of Scientific Discovery with AI and Knowledge Graphs

Unlocking the Secrets of Scientific Discovery with AI and Knowledge Graphs ... Have you ever wondered how AI could revolutionize the way we conduct scientific… | 17 comments on LinkedIn

#LLM #technical #research #KnowledgeGraph #AI

·linkedin.com·Apr 4, 2024

Unlocking the Secrets of Scientific Discovery with AI and Knowledge Graphs

Semantic search and its supplement ‘Graph based prompting’ | by Jeong ii tae | Mar, 2024 | Medium

Graph Neural Prompting with Large Language Models

#GraphAI #research #technical #AI #KnowledgeGraph #LLM

·medium.com·Mar 29, 2024

Semantic search and its supplement ‘Graph based prompting’ | by Jeong ii tae | Mar, 2024 | Medium

MLX-graphs — mlx-graphs 0.0.3 documentation

Apple presented MLX-graphs: the GNN library for the MLX framework specifically optimized for Apple Silicon. Since the CPU/GPU memory is shared on M1/M2/M3, you don’t have to worry about moving tensors around and at the same time you can enjoy massive GPU memory of latest M2/M3 chips (64 GB MBPs and MacMinis are still much cheaper than A100 80 GB). For starters, MLX-graphs includes GCN, GAT, GIN, GraphSAGE, and MPNN models and a few standard datasets.

#GraphAI #open source #technical #research

·mlx-graphs.github.io·Feb 29, 2024

MLX-graphs — mlx-graphs 0.0.3 documentation