GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

pggb builds pangenome variation graphs from a set of input sequences. A pangenome variation graph is a kind of generic multiple sequence alignment. It lets us understand any kind of sequence variation ...

Abstract: Given a large graph, like a computer communication network, which k nodes should we immunize (or monitor, or remove), to make it as robust as possible against a computer virus attack? This ...

This article was originally published by WatersTechnology. Since 2023, Bloomberg has unveiled its internal LLM, BloombergGPT, and added an array of AI-powered tools to the terminal. As banks and asset ...

Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms. All of modern mathematics is built on ...

F. Gama, A. G. Marques, G. Leus, and A. Ribeiro, "Convolutional Neural Network Architectures for Signals Supported on Graphs," IEEE Trans. Signal Process., vol. 67 ...

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Graph Neural Networks (GNNs) have gained considerable attention in recent years. Despite the surge in innovative GNN architecture designs, research heavily relies on the same 5-10 benchmark datasets ...

A team of physicists has created a maze that they claim is the most difficult, using a pattern from the game of chess to make the structure. To the untrained eye, the maze looks like the most ...