graph-learning 开源项目推荐（234 个）

alibaba /euler

分布式图深度学习框架。

PaddlePaddle /PGL

Paddle图形学习（PGL）是一个基于PaddlePaddle的高效灵活的图形学习框架

awslabs /dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

tensorflow /neural-structured-learning

Training neural models with structured signals.

HKUDS /GraphGPT

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

wenwenyu /PICK-pytorch

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

HKUDS /LLMRec

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

HKUDS /OpenGraph

[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"

quiver-team /torch-quiver

PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

YuanchenBei /Awesome-Cold-Start-Recommendation

[Up-to-date] A curated list of resources on cold-start recommendations.

choderalab /espaloma

Extensible Surrogate Potential of Ab initio Learned and Optimized by Message-passing Algorithm 🍹https://arxiv.org/abs/2010.01196

IntelligentSystemsLab /ST-EVCDP

A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.

doujiang-zheng /Awesome-Graph-Learning-Papers-List

Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

hugochan /IDGL

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

HKUDS /AnyGraph

"AnyGraph: Graph Foundation Model in the Wild"

YuanchenBei /Awesome-Graphs-Meet-Agents

[Up-to-date] A curated list of resources on graph-empowered agents and agent-facilitated graph learning (Graphs Meet Agents & Agentic Graph Engineering).

opencog /learn

Neuro-symbolic interpretation learning (mostly just language-learning, for now)

coperception /coperception

用于多智能体协作感知的SDK。

huawei-noah /BGCN

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

WxxShirley /GNN4TaskPlan

[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"