Data Intelligence Lab@University of Hong Kong, Baidu Inc. This repository hosts the code, data and model weight of GraphGPT (SIGIR'24 full paper track). Due to compatibility issues, if you are using ...

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 ...

Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...

Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter. Shortly before Christmas, the Conservative MP and former security minister Tom Tugendhat published a lengthy ...

It’s honestly wild that this slipped through, but after watching Stranger Things 5, there’s one massive plot hole that makes it feel like nobody was paying attention to their own story, and it all ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...