graph-learning

PaddlePaddle/PGL

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

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.

choderalab/espaloma

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

YuanchenBei/Awesome-Cold-Start-Recommendation

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

hugochan/IDGL

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

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

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

HKUDS/AnyGraph

"AnyGraph: Graph Foundation Model in the Wild"

IntelligentSystemsLab/ST-EVCDP

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

opencog/learn

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

huawei-noah/BGCN

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

coperception/coperception

An SDK for multi-agent collaborative perception.

ai4ce/DiscoNet

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception

rubenwiersma/deltaconv

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

WxxShirley/GNN4TaskPlan

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

EdisonLeeeee/Awesome-Fair-Graph-Learning

Paper List for Fair Graph Learning (FairGL).

HKUDS/GraphEdit

"GraphEdit: Large Language Models for Graph Structure Learning"

HKUDS/HiGPT

[KDD'2024] "HiGPT: Heterogenous Graph Language Models"

EQTPartners/CompanyKG

A Large-Scale Company Relation Graph for Investment Industry

BorgwardtLab/TOGL

Topological Graph Neural Networks (ICLR 2022)

cornell-zhang/GraphZoom

GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)

SsGood/MMGL

Multi-modal Graph learning for Disease Prediction (IEEE Trans. on Medical imaging, TMI2022)

gmh14/data_efficient_grammar

[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation

MGitHubL/Chinese-Reading-Notes-of-Graph-Learning

sair-lab/LGL

Lifelong Graph Learning (CVPR 2022 Oral)

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).

aimclub/GOLEM

Graph Optimiser for Learning and Evolution of Models

IntelLabs/GraVi-T

Graph learning framework for long-term video understanding

SRA2/SPELL

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection (ECCV 2022)

WxxShirley/LLMNodeBed

[ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"