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graph-machine-learning

Here are 46 public repositories matching this topic...

stellargraph / stellargraph

StellarGraph - Machine Learning on Graphs

python data-science machine-learning deep-learning graphs machine-learning-algorithms networkx graph-data graph-analysis graph-machine-learning link-prediction graph-convolutional-networks gcn saliency-map interpretability geometric-deep-learning graph-neural-networks heterogeneous-networks stellargraph-library

Updated Feb 3, 2023
Python

snap-stanford / ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

deep-learning datasets graph-machine-learning graph-neural-networks

Updated Jan 27, 2023
Python

daiquocnguyen / Graph-Transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

text-classification transformer graph-machine-learning graph-embeddings graph-classification self-attention graph-neural-networks graph-representation-learning transformer-models node-embeddings graph-deep-learning graph-transformer

Updated Aug 16, 2022
Python

lukecavabarrett / pna

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

pytorch graph-machine-learning graph-neural-networks pytorch-geometric dgl

Updated Aug 7, 2022
Python

michiyasunaga / LinkBERT

[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

knowledge transformer question-answering pretrained-models language-model graph-machine-learning biomedical-applications pretraining

Updated Apr 5, 2022
Python

zhao-tong / graph-data-augmentation-papers

A curated list of graph data augmentation papers.

survey data-augmentation graph-machine-learning graph-neural-networks graph-data-augmentation

Updated Jan 20, 2023

mims-harvard / PrimeKG

Precision Medicine Knowledge Graph (PrimeKG)

bioinformatics dataset knowledge-graph nlp-machine-learning graph-machine-learning precision-medicine therapeutics network-medicine

Updated Feb 2, 2023
Jupyter Notebook

neo4j / graph-data-science-client

A Python client for the Neo4j Graph Data Science (GDS) library.

python data-science machine-learning algorithms neo4j graph graph-algorithms python3 graph-database graph-machine-learning graph-data-science

Updated Feb 24, 2023
Python

Saro00 / DGN

Implementation of Directional Graph Networks in PyTorch and DGL

pytorch graph-machine-learning spectral-methods graph-neural-networks dgl

Updated Apr 4, 2021
Python

tigerlily

benedekrozemberczki / tigerlily

Sponsor

TigerLily: Finding drug interactions in silico with the Graph.

machine-learning node deep-learning graph ddi biology network-science knowledge-graph graph-database unsupervised-learning embedding graph-machine-learning gradient-boosting graph-embedding pharmaceuticals node-embedding tigergraph drug-drug-interaction heterogeneous-graph

Updated Dec 17, 2022
Jupyter Notebook

chenxuhao / ReadingList

Papers on Graph Analytics, Mining, and Learning

graph graph-algorithms parallel-computing graph-theory graph-databases graph-analytics graph-mining graph-partitioning graph-machine-learning random-walk graph-clustering graph-pattern-matching graph-sampling graph-neural-networks graph-coarsening graph-pattern-mining hardware-accelerators graph-querying

Updated Aug 15, 2022

mims-harvard / GraphXAI

GraphXAI: Resource to support the development and evaluation of GNN explainers

benchmarking deep-learning embeddings graph-machine-learning interpretability explainable-ai explainable-ml graph-neural-networks explainability

Updated Jan 14, 2023
Python

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)

machine-learning imputation graph-machine-learning spatiotemporal-data-analysis multivariate-timeseries-analysis

Updated Jun 22, 2022
Python

cptq / SignNet-BasisNet

SignNet and BasisNet

machine-learning deep-learning graph graph-machine-learning graph-convolutional-networks graph-neural-networks transformer-models graph-transformer

Updated Nov 13, 2022
Python

oracle-samples / pgx-samples

Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs

machine-learning graph graph-algorithms graph-analytics graph-machine-learning

Updated Feb 14, 2023
Jupyter Notebook

sunfanyunn / vGraph

Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (Neurips 2019)

graph community-detection generative-model graph-machine-learning node-representation-learning

Updated Feb 23, 2021
Python

DM2-ND / CFLP

Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction

graph-machine-learning link-prediction graph-neural-networks graph-data-augmentation counterfactual-data-augmentation

Updated Aug 10, 2022
Python

arangoml / fastgraphml

Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.

machine-learning embeddings graph-machine-learning graph-neural-networks pytorch-geometric

Updated Dec 8, 2022
Python

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.

deep-learning datasets logic-synthesis graph-machine-learning electronics-design graph-neural-networks electronics-design-automation

Updated Jul 27, 2022
Jupyter Notebook

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.

machine-learning deep-learning pytorch arangodb graph-machine-learning

Updated Jul 5, 2022
Jupyter Notebook

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