Memgraph, a leader in open-source in-memory graph databases purpose-built for dynamic, real-time enterprise applications, is releasing two new tools specifically architected to open up the power of ...

Abstract: Graph Neural Networks (GNNs), which obtain node embeddings by attribute propagates along graph topology, exhibit significant power in graph-structured data mining. However, graphs in the ...

VANCOUVER, BC – August 13th, 2025 – Deemos, a pioneering research company at the forefront of generative AI for 3D content, is celebrating a triumphant week at SIGGRAPH 2025, marked by winning the ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

CAMBRIDGE, MA – The process of discovering molecules that have the properties needed to create new medicines and materials is cumbersome and expensive, consuming vast computational resources and ...

6b. LF method (ties are solved by the vertex number) 6c. SLF method (ties are solved by highest vertex degree, and if there is still a tie choose the vertex with the lowest number) X the number of ...

ABSTRACT: The cost and strict input format requirements of GraphRAG make it less efficient for processing large documents. This paper proposes an alternative approach for constructing a knowledge ...