Mar 2, 2024 · However, a key challenge remains: the difficulty of generalizing to unseen graph data with different properties. In this work, we propose a novel graph foundation model, called OpenGraph, to …

Presenting OpenGraph, a foundation graph model distilling zero-shot graph generalizability from LLMs. To achieve this goal, OpenGraph addresses several key technical challenges:

In this work, we pro- pose a novel graph foundation model, called OpenGraph, to address this challenge. Our approach tackles several technical obstacles. Firstly, we enhance data augmentation using a …

In this work, we propose a novel graph foundation model, called OpenGraph, to address this challenge. Our approach tackles several technical obstacles. Firstly, we enhance data augmentation using a …

This model is designed to understand the complex topological patterns present in diverse graph data, enabling it to excel in zero-shot graph learning tasks across different downstream datasets. To …

Mar 2, 2024 · A comprehensive survey of the state-of-the-art techniques of graph foundation models, which comprehensively review the existing and recent advances of graph foundation models, …

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To overcome these challenges, we present OpenGraph, a flexible graph model that excels in zero-shot graph learning, allowing it to capture the universal and transferable structural patterns across …

In artificial intelligence, a foundation model (FM), also known as large x model (LxM, with "x" representing any of text, images, sound, etc.), is a machine learning or deep learning model trained …

This tutorial offers an overview of incorporating large language models into the graph domain, accompanied by practical examples, and categorized into three dimensions: utilizing LLMs as …

graph data with different properties. In this work, we pro-pose a novel graph foundation model, called. OpenGraph, to address this challenge. Our approac. tackles several technical obstacles. Firstly, we …

Lianghao Xia author Ben Kao author Chao Huang author 2024-11 text Yaser Al-Onaizan editor Mohit Bansal editor Yun-Nung Chen editor Association for Computational Linguistics Miami, Florida, USA …

However, a key challenge remains: the difficulty of generalizing to unseen graph data with different properties. In this work, we propose a novel graph foundation model, called OpenGraph, to address …

2 days ago · Models like GPT‑5.2 can serve as tools for supporting mathematical reasoning and accelerating early-stage exploration, while responsibility for correctness, interpretation, and context …

Jan 1, 2024 · OpenGraph [79] is a novel graph foundation model designed to address the challenge of generalizing to unseen graph data with different properties.