The calculator, often overlooked but undeniably crucial, is like the unsung hero of academia. I’ve come to realize that not ...

Researchers have developed a graph-based expert system that improves the accuracy and prediction stability of automated bank ...

Abstract: Adversarial attacks can fool powerful graph neural networks by subtly modifying input data's graph topology or node attributes. Attackers usually regard the whole graph or local subgraphs as ...

CHICAGO — The ancient manuscript rested on the shelves of the Newberry Library for more than a century. Little was known about the bound book from colonial Mexico that had been donated to the library ...

Plant-based paper has been used for thousands of years, but exactly how is it created from trees? When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

This is the official implementation for our NeurIPS 2024 paper "Can Graph Learning Improve Planning in LLM-based Agents?" [中文] For running LLM's direct inference or GraphSearch, our codes are ...

Hand-drawn doodle pencil sketch of various scientific subject matter—A stream of consciousness look into the mind of a science, technical or math oriented person. All images are grouped and on ...

Graph database management systems (GDBMSs) have become essential in today’s data-driven world, which requires more and more management of complex, highly interconnected data for social networking, ...

Scene Graph Generation (SGG) is a challenging task of detecting objects and predicting relationships between objects. After DETR was developed, one-stage SGG models based on a one-stage object ...

Abstract: In this paper, we endeavor to jointly learn multiple distinct but related graphs by exploiting the underlying topological relationships between them. The difficulty lies in how to design a ...