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 2898
snap-stanford / ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
graph-machine-learning graph-neural-networks deep-learning datasets
Language:Python 1876
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 623
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 395
lukecavabarrett / pna
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
graph-machine-learning graph-neural-networks pytorch dgl pytorch-geometric
Language:Python 329
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 321
zhao-tong / graph-data-augmentation-papers
A curated list of graph data augmentation papers.
graph-machine-learning data-augmentation graph-neural-networks graph-data-augmentation survey
278
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 168
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 139
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 imputation machine-learning multivariate-timeseries-analysis spatiotemporal-data-analysis
Language:Python 133
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
113
Saro00 / DGN
Implementation of Directional Graph Networks in PyTorch and DGL
graph-machine-learning graph-neural-networks pytorch dgl spectral-methods
Language:Python 111
tigerlily
benedekrozemberczki / tigerlily
TigerLily: Finding drug interactions in silico with the Graph.
biology ddi deep-learning drug-drug-interaction embedding gradient-boosting graph graph-database graph-embedding graph-machine-learning heterogeneous-graph knowledge-graph machine-learning network-science node node-embedding pharmaceuticals tigergraph unsupervised-learning
Language:Jupyter Notebook 97
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 94
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 88
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 64
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 64
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 45
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 43
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 38
sunfanyunn / graph-classification
A collection of graph classification methods
graph-kernels graph-machine-learning graph-neural-network
Language:OpenEdge ABL 38
apache / incubator-hugegraph-ai
The integration of HugeGraph with artificial intelligence
graph-embedding graph-machine-learning graph-neural-networks hugegraph knowledge-graph llm
Language:Python 33
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 26
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 25
Orbifold / pyg-link-prediction
Pytorch Geometric link prediction of a homogeneous social graph.
graph-machine-learning pytorch-geometric graph-representation-learning
Language:Jupyter Notebook 23
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 20
chenxuhao / GraphAIBench
A benchmark suite for Graph Machine Learning
graph graph-algorithms graph-neural-networks gpu-computing openmp cuda benchmarking graph-machine-learning
Language:C++ 16
karannb / cs224w
Solutions to homework problems and programming assignments for Stanford's cs224w Machine Learning with Graphs (2021) course.
cs224w graph-machine-learning cs224w-homeworks homework pytorch-geometric
Language:Jupyter Notebook 13
tong-wu-umn / ME2Vec
Source code of ME2Vec.
representation-learning electronic-health-records graph-machine-learning
Language:Python 13
zahta / graph_ml
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.
deep-graph-library deep-learning deep-neural-networks graph-algorithms graph-neural-networks networkx pytorch-geometric representation-learning dgl graph-embedding machine-learning code graph-machine-learning
Language:Jupyter Notebook 13
RomanoLab / comptox_ai
ComptoxAI - An artificial Intelligence toolkit for computational toxicology
ontology neo4j graph-machine-learning diseases phenotypes ai data graph-database
Language:Python 11
twitter-research / lmsoc
Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining
machine-learning natural-language-processing social-network network-analysis graph-machine-learning contextual-embeddings transformers
Language:Jupyter Notebook 11
LamineTourelab / Tutorial
Tutorials on machine learning, artificial intelligence in general and in biomedical research.
computer-vision deep-learning machine-learning pytorch transfer-learning artificial-intelligence bioinformatics data-science image-analysis natural-language-processing python tutorial-code tutorials graph-machine-learning tensorflow-tutorials plotly-dash bioinformatics-tutorials data-visualization-dashboard scrna-seq shiny-apps
Language:Jupyter Notebook 10
yandex-research / structural-graph-shifts
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts (NeurIPS'23)
distributional-shift graph-benchmark graph-machine-learning graph-neural-networks robustness structural-shifts uncertainty-estimation
Language:Python 10
salesforce / GAEA
Data and code for Salesforce Research paper, GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning - https://arxiv.org/abs/2012.03900 . The paper provides methods for constraint graph augmentation and optimal facility placement problems
ai ml reinforcement-learning rl deep-reinforcement-learning social-network social-network-analysis equity fairness-ai constraint-optimization resource-management graph-machine-learning graph-ml graph-algorithms
Language:HTML 9
Anindyadeep / YogaPoseGNN
When real time Yoga Position classification meets GNN
computer-vision deep-learning graph-machine-learning neural-network pytorch pytorch-geometric
Language:Python 8