graph-machine-learning

There are 11 repositories under graph-machine-learning topic.

stellargraph / stellargraph
StellarGraph - Machine Learning on Graphs
graphs machine-learning machine-learning-algorithms graph-convolutional-networks networkx geometric-deep-learning saliency-map interpretability heterogeneous-networks graph-neural-networks graph-analysis graph-machine-learning gcn link-prediction stellargraph-library graph-data python deep-learning data-science
Language:Python 3032
snap-stanford / ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
graph-machine-learning graph-neural-networks deep-learning datasets
Language:Python 2048
daiquocnguyen / Graph-Transformer
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
graph-representation-learning graph-classification graph-neural-networks node-embeddings graph-embeddings graph-transformer self-attention transformer graph-machine-learning text-classification transformer-models graph-deep-learning
Language:Python 677
mims-harvard / PrimeKG
Precision Medicine Knowledge Graph (PrimeKG)
knowledge-graph precision-medicine therapeutics bioinformatics dataset graph-machine-learning network-medicine nlp-machine-learning
Language:Jupyter Notebook 648
michiyasunaga / LinkBERT
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
language-model pretraining pretrained-models knowledge biomedical-applications graph-machine-learning question-answering transformer
Language:Python 447
lukecavabarrett / pna
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
dgl graph-machine-learning graph-neural-networks pytorch pytorch-geometric
Language:Python 354
zhao-tong / graph-data-augmentation-papers
A curated list of graph data augmentation papers.
data-augmentation graph-data-augmentation graph-machine-learning graph-neural-networks survey
314
neo4j / graph-data-science-client
A Python client for the Neo4j Graph Data Science (GDS) library
python neo4j machine-learning algorithms graph data-science graph-algorithms graph-database python3 graph-data-science graph-machine-learning
Language:Python 224
mims-harvard / GraphXAI
GraphXAI: Resource to support the development and evaluation of GNN explainers
graph-neural-networks explainability explainable-ai explainable-ml interpretability deep-learning embeddings graph-machine-learning benchmarking
Language:Python 200
grin
Graph-Machine-Learning-Group / grin
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
graph-machine-learning multivariate-timeseries-analysis imputation spatiotemporal-data-analysis machine-learning
Language:Python 170
NYU-MLDA / OpenABC
OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.
electronics-design logic-synthesis graph-machine-learning graph-neural-networks deep-learning datasets electronics-design-automation boolean-optimization bulls-eye openabc-d benchmarks circuit-benchmarks logic-synthesis-benchmarks
Language:Verilog 136
chenxuhao / ReadingList
Papers on Graph Analytics, Mining, and Learning
graph graph-neural-networks graph-algorithms graph-mining graph-pattern-mining graph-pattern-matching graph-machine-learning graph-sampling graph-analytics random-walk parallel-computing hardware-accelerators graph-partitioning graph-clustering graph-databases graph-theory graph-coarsening graph-querying
127
Saro00 / DGN
Implementation of Directional Graph Networks in PyTorch and DGL
graph-machine-learning graph-neural-networks pytorch dgl spectral-methods
Language:Python 117
cptq / SignNet-BasisNet
SignNet and BasisNet
deep-learning graph-neural-networks machine-learning graph graph-convolutional-networks graph-machine-learning graph-transformer transformer-models
Language:Python 101
tigerlily
benedekrozemberczki / tigerlily
TigerLily: Finding drug interactions in silico with the Graph.
node embedding node-embedding graph-embedding ddi drug-drug-interaction gradient-boosting graph pharmaceuticals network-science biology heterogeneous-graph knowledge-graph deep-learning machine-learning unsupervised-learning tigergraph graph-database graph-machine-learning
Language:Jupyter Notebook 100
apache / incubator-hugegraph-ai
The integration of HugeGraph with AI/LLM & GraphRAG
gnn graph-machine-learning graphrag hugegraph knowledge-graph
Language:Python 98
caspervanengelenburg / msd
[ECCV 2024] MSD: A Benchmark Dataset for Floor Plan of Building Complexes
dataset diffusionmodel floorplan graph-machine-learning graphs
Language:Jupyter Notebook 87
DM2-ND / CFLP
Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
link-prediction graph-machine-learning counterfactual-data-augmentation graph-data-augmentation graph-neural-networks
Language:Python 70
arangoml / fastgraphml
Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
embeddings graph-machine-learning graph-neural-networks machine-learning pytorch-geometric
Language:Python 68
pasqal-io / quantum-evolution-kernel
A Graph Machine Learning library using Quantum Computing
graph-machine-learning graphs machine-learning molecule quantum-computing
Language:Python 55
oracle-samples / pgx-samples
Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs
graph-machine-learning graph-algorithms machine-learning graph-analytics graph
Language:Jupyter Notebook 49
AndrewSpano / Stanford-CS224W-ML-with-Graphs
Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.
graph-machine-learning stanford-university
Language:Jupyter Notebook 46
sunfanyunn / vGraph
Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)
community-detection generative-model graph graph-machine-learning node-representation-learning
Language:Python 46
sunfanyunn / graph-classification
A collection of graph classification methods
graph-kernels graph-machine-learning graph-neural-network
Language:OpenEdge ABL 42
sachinsharma9780 / Build-ML-pipelines-for-Computer-Vision-NLP-and-Graph-Neural-Networks-using-Nvidia-Triton-Server
Build ML pipelines for Computer Vision, NLP and Graph Neural Networks using Triton Server.
pytorch deep-learning machine-learning graph-machine-learning arangodb
Language:Jupyter Notebook 41
Zhuofeng-Li / TEG-Benchmark
[NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
ai teg datasets graph-foundation-model graph-machine-learning graph-neural-network large-language-model
Language:Python 41
HipGraph / FusedMM
Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks"
graph-embedding graph-neural-netowrks graph-visualization graph-mining graph-machine-learning general-purpose-library fused-kernel graph-learning-kernel shared-memory-parallel
Language:C 31
karannb / cs224w
My attempt at homework problems and programming assignments for Stanford's cs224w, Machine Learning with Graphs (2021) course.
cs224w cs224w-homeworks graph-machine-learning pytorch-geometric
Language:Jupyter Notebook 30
Orbifold / pyg-link-prediction
Pytorch Geometric link prediction of a homogeneous social graph.
graph-machine-learning pytorch-geometric graph-representation-learning
Language:Jupyter Notebook 26
BAT
ZhiningLiu1998 / BAT
[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类
data-augmentation graph-algorithms graph-machine-learning graph-mining imbalanced-data imbalanced-learning machine-learning node-classification
Language:Python 25
zahta / Graph-Machine-Learning
Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.
code deep-graph-library deep-learning deep-neural-networks dgl graph-algorithms graph-embedding graph-machine-learning graph-neural-networks machine-learning networkx pytorch-geometric representation-learning
Language:Jupyter Notebook 23
chenxuhao / GraphAIBench
A benchmark suite for Graph Machine Learning
benchmarking cuda gpu-computing graph graph-algorithms graph-machine-learning graph-neural-networks openmp
Language:C++ 19
bootcamp-idao-2022
isadrtdinov / bootcamp-idao-2022
IDAO 2022: Machine Learning Bootcamp
machine-learning deep-learning education competition data-analysis boosting neural-networks graph-machine-learning categorical-data
Language:Jupyter Notebook 19
RomanoLab / comptox_ai
ComptoxAI - An artificial Intelligence toolkit for computational toxicology
ontology neo4j graph-machine-learning diseases phenotypes ai data graph-database
Language:Python 17
yandex-research / structural-graph-shifts
New structural distributional shifts for evaluating graph models
graph-machine-learning graph-neural-networks robustness structural-shifts uncertainty-estimation distributional-shift graph-benchmark
Language:Python 15
tong-wu-umn / ME2Vec
Source code of ME2Vec.
representation-learning electronic-health-records graph-machine-learning
Language:Python 14

graph-machine-learning

stellargraph / stellargraph

snap-stanford / ogb

daiquocnguyen / Graph-Transformer

mims-harvard / PrimeKG

michiyasunaga / LinkBERT

lukecavabarrett / pna

zhao-tong / graph-data-augmentation-papers

neo4j / graph-data-science-client

mims-harvard / GraphXAI

Graph-Machine-Learning-Group / grin

NYU-MLDA / OpenABC

chenxuhao / ReadingList

Saro00 / DGN

cptq / SignNet-BasisNet

benedekrozemberczki / tigerlily

apache / incubator-hugegraph-ai

caspervanengelenburg / msd

DM2-ND / CFLP

arangoml / fastgraphml

pasqal-io / quantum-evolution-kernel

oracle-samples / pgx-samples

AndrewSpano / Stanford-CS224W-ML-with-Graphs

sunfanyunn / vGraph

sunfanyunn / graph-classification

sachinsharma9780 / Build-ML-pipelines-for-Computer-Vision-NLP-and-Graph-Neural-Networks-using-Nvidia-Triton-Server

Zhuofeng-Li / TEG-Benchmark

HipGraph / FusedMM

karannb / cs224w

Orbifold / pyg-link-prediction

ZhiningLiu1998 / BAT

zahta / Graph-Machine-Learning

chenxuhao / GraphAIBench

isadrtdinov / bootcamp-idao-2022

RomanoLab / comptox_ai

yandex-research / structural-graph-shifts

tong-wu-umn / ME2Vec