A distributed graph deep learning framework.
Paddle Graph Learning (PGL) is an efficient and flexible graph learning ...
High performance, easy-to-use, and scalable package for learning large-s...
Training neural models with structured signals.
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation ...
Extensible Surrogate Potential of Ab initio Learned and Optimized by Mes...
"OpenGraph: Towards Open Graph Foundation Models"
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for G...
[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Per...
A Large-Scale Company Relation Graph for Investment Industry
Neuro-symbolic interpretation learning (mostly just language-learning, f...
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Gra...
"GraphEdit: Large Language Models for Graph Structure Learning"
[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation