Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

TySON (TypeScript Object Notation) is a subset of TypeScript, chosen to be useful as an embeddable configuration language that generates JSON. You can think of TySON as JSON + comments + types + basic ...

This is the official pytorch implementation of the paper "ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection, AAAI2025". Also, we provide an appendix here. Python 3.8.2 numpy 1.24.1 ...

Specifically, a data set of over 30,000 compositions with the work function on boron-doped graphene at different concentrations and doping positions via density functional theory simulations was ...

IIT Guwahati has released the GATE 2026 Syllabus for Computer Science & Information Technology (CS&IT) along with the ...

Starting with Easy LeetCode JavaScript Problems. LeetCode sorts its problems into Easy, Medium, and Hard. As a beginner, ...

What about ChatGPT and related large AI Systems? How will they impact us all? As a longtime researcher in AI, I'm excited about the ways in which these new AI systems can improve our healthcare, ...