While newer cloud relational database providers have attempted to mitigate query speed issues by scaling resources to handle ...

Time in our lived reality is unidirectional, but a study finds quantum world can bend time and make it go in opposite ways.

Google’s AlphaGeometry2 AI reaches the level of gold-medal students in the International Mathematical Olympiad ...

Whether you’re creating a new graph data model and queries, or exploring an existing graph dataset, it can be useful to have an interactive query environment that allows you to visualize the results.

2021) constructed a graph neural network from the perspective of differential equations for the first ... graph neural network based on simple linear structure has the following potential advantages: ...

So, in the interest of not being insects, here are my top-five physics equations you should know ... we can do a bunch of awesome things—like model the motion of a basketball in the air ...

Abstract: Graph model for conflict resolution (GMCR) is an effective tool to solve conflicts, which determines the feasible states by modeling the conflict, and then analyzes the behavior of ...

proposed a graph machine learning model, namely TREE, based on the Transformer framework. With this novel Transformer-based architecture, TREE not only identifies the most influential omics data ...

The new model, a fine-tuned version of Meta’s LLama 3.3, is the first open-source implementation of a system known as graph retrieval-augmented generation, or GraphRAG. Unlike conventional AI ...

College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China Department of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, ...

Given the huge complexity of network construction, analysis and statistics, toolboxes incorporating these functions are largely lacking. Here, we developed the GRaph thEoreTical Network ... using ...