I am not sure if I am in the minority who now resorts to a mapping app with speed limit warnings to help monitor my speed ...

Abstract: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...

The 1984 Corvette did something few production cars dared to attempt at the time: it put a fully digital instrument panel ...

The average car speedometer may be off by a few mph There are several GPS and 3rd party apps that show your actual speed The speedometer, of course, tells you how fast or slow your car is moving when ...

Microsoft Graph has a set of command line tools that can be integrated into Microsoft 365 to manage users and apps as well as automate tasks. For an organization with a Microsoft 365 tenant, managing ...

Abstract: Unsupervised graph representation learning, i.e., learning node or graph embeddings from graph data in an unsupervised manner, has become an important problem when we study graph data. With ...

This is the official implementation used in the paper Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing (arXiv), which has been accepted for ...

In the early days of motoring, there was no nationwide speed limit. This meant that drivers could theoretically reach very high speeds on certain public roads without worrying about tickets. However, ...

This repository contains code for Talk like a Graph: Encoding Graphs for Large Language Models and Let Your Graph Do the Talking: Encoding Structured Data for LLMs. @inproceedigs{fatemi2024talk, ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...