The Helfrich theory of membrane bending, supported by molecular dynamics simulations, is a promising approach for evaluating ...

Past psychology studies suggest that the human brain stores memories and experiences following graph-like and structured patterns, specifically as a network of associations, also referred to as ...

However, this method only supports undirected graphs and cannot preserve complex graph structures. To address this limitation, LINE also explores second-order proximities for all v ∈ V to induce the ...

A research team led by Bing Qin introduces a novel method for Knowledge Graph Completion using higher-order neighbor subgraphs to address sparsity issues, demonstrating its effectiveness in a ...

Swift Graphs library provides a composable and extensible foundation for working with graphs. Whether you're constructing binary trees, performing complex graph traversals, or optimizing pathfinding ...

Graph-to-text generation task is transforms knowledge graphs into natural language. In current research, pretrained language models (PLMs) have shown better perf ...

Transformer models have shown great versatility in modalities, such as images, audio, video, and undirected graphs, but transformers for directed graphs still lack attention. To address this gap, a ...

In new work on graphs’ hidden structure, mathematicians probe the limits of randomness.