graph-learning
There are 131 repositories under graph-learning topic.
alibaba/euler
A distributed graph deep learning framework.
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
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"
doujiang-zheng/Awesome-Graph-Learning-Papers-List
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
huawei-noah/BGCN
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
coperception/coperception
An SDK for multi-agent collaborative perception.
YuanchenBei/Awesome-Cold-Start-Recommendation
A curated list of resources on cold-start recommendations.
opencog/learn
Neuro-symbolic interpretation learning (mostly just language-learning, for now)
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."
EdisonLeeeee/Awesome-Fair-Graph-Learning
Paper List for Fair Graph Learning (FairGL).
IntelligentSystemsLab/ST-EVCDP
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
EQTPartners/CompanyKG
A Large-Scale Company Relation Graph for Investment Industry
HKUDS/GraphEdit
"GraphEdit: Large Language Models for Graph Structure Learning"
BorgwardtLab/TOGL
Topological Graph Neural Networks (ICLR 2022)
HKUDS/HiGPT
[KDD'2024] "HiGPT: Heterogenous Graph Language Models"
WxxShirley/GNN4TaskPlan
[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"
cornell-zhang/GraphZoom
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
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
sair-lab/LGL
Lifelong Graph Learning (CVPR 2022 Oral)
SRA2/SPELL
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection (ECCV 2022)
aimclub/GOLEM
Graph Optimiser for Learning and Evolution of Models
IntelLabs/GraVi-T
Graph learning framework for long-term video understanding
shamim-hussain/egt
Edge-Augmented Graph Transformer
SunLab-GMU/GraphSPD
The official repository of "GraphSPD: Graph-Based Security Patch Detection with Enriched Code Semantics". The paper will appear in the IEEE Symposium on Security and Privacy (S&P), San Francisco, CA, May 22-26, 2023.