GitHub topics: graph-machine-learning

Repositories

apache/incubator-hugegraph-ai

The integration of HugeGraph with AI/LLM & GraphRAG

Language: Python - Size: 821 KB - Last synced at: 6 days ago - Pushed at: 10 days ago - Stars: 88 - Forks: 51

stellargraph/stellargraph

StellarGraph - Machine Learning on Graphs

Language: Python - Size: 92.5 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 3,016 - Forks: 437

neo4j/graph-data-science-client

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

Language: Python - Size: 19.7 MB - Last synced at: 7 days ago - Pushed at: 10 days ago - Stars: 217 - Forks: 53

yqhuang722/Paper-List

A paper list of my history reading. GNN, GRL, GFM, etc.

Size: 14.6 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

Ron-Ash/Raindance

Large full-stack Web project

Language: Jupyter Notebook - Size: 5.28 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Ron-Ash/AdvancedLearningNotes

digital notes from various Math/ML under-graduate and graduate courses I went through.

Language: Jupyter Notebook - Size: 29 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

pykeen/kgem-software-review

📖 A review of KGEM packages and frameworks at https://pykeen.github.io/kgem-software-review.

Language: Python - Size: 62.5 KB - Last synced at: 16 days ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 2

pasqal-io/quantum-evolution-kernel

A Graph Machine Learning library using Quantum Computing

Language: Python - Size: 4.14 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 48 - Forks: 7

snap-stanford/ogb

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

Language: Python - Size: 4.25 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 2,003 - Forks: 406

mims-harvard/PrimeKG

Precision Medicine Knowledge Graph (PrimeKG)

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 536 - Forks: 115

LamineTourelab/Tutorial

Tutorials on machine learning, artificial intelligence in general and in biomedical research.

Language: Jupyter Notebook - Size: 70.3 MB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 0

benedekrozemberczki/tigerlily

TigerLily: Finding drug interactions in silico with the Graph.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 14 days ago - Pushed at: over 2 years ago - Stars: 100 - Forks: 9

karannb/cs224w

My attempt at homework problems and programming assignments for Stanford's cs224w,Machine Learning with Graphs (2021) course.

Language: Jupyter Notebook - Size: 189 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 26 - Forks: 4

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

Language: Python - Size: 122 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 25 - Forks: 1

joseph-nagel/graph-nn

Machine learning on graphs

Language: Jupyter Notebook - Size: 46.9 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

RomanoLab/comptox_ai

ComptoxAI - An artificial Intelligence toolkit for computational toxicology

Language: Python - Size: 12.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 16 - Forks: 5

michiyasunaga/LinkBERT

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

Language: Python - Size: 1.45 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 437 - Forks: 42

microsoft/figure

[NeurIPS 2023, KDD MLG 2023] Repo that contains code for the paper titled: "FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations".

Language: Python - Size: 245 KB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 9 - Forks: 2

Lintianqianjin/LangGFM

A Large Language Model Alone Can be a Powerful Graph Foundation Model

Language: Python - Size: 74.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 0

oracle-samples/pgx-samples

Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs

Language: Jupyter Notebook - Size: 3.66 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 49 - Forks: 28

yandex-research/tabgraphs

A benchmark of meaningful graph datasets with tabular node features

Language: Python - Size: 138 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 12 - Forks: 1

ainimesh/gmlfa_tutorials

Repository of Jupyter notebook tutorials for teaching the Graph Machine Learning Foundation and Applications Course at the Indian Institute of Technology, Kharagpur, Autumn Semesters.

Size: 50.8 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 1

HipGraph/FusedMM

Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks"

Language: C - Size: 3.64 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 30 - Forks: 5

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.

Language: Jupyter Notebook - Size: 8.67 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 18 - Forks: 7

yandex-research/structural-graph-shifts

New structural distributional shifts for evaluating graph models

Language: Python - Size: 199 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 0

lipinski/awesome-machine-learning-on-graph

The repository is a curated list of various resources, including academic papers, books, courses, tools, and libraries, related to machine learning with graph data.

Size: 17.6 KB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

Zhuofeng-Li/TEG-Benchmark

[NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs

Language: Python - Size: 1010 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 30 - Forks: 2

Anindyadeep/YogaPoseGNN

When real time Yoga Position classification meets GNN

Language: Python - Size: 38 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 2

caspervanengelenburg/msd

Code repository for the ECCV paper "MSD: A Benchmark Dataset for Floor Plan of Building Complexes".

Language: Jupyter Notebook - Size: 20.6 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 36 - Forks: 2

Saro00/DGN

Implementation of Directional Graph Networks in PyTorch and DGL

Language: Python - Size: 8.65 MB - Last synced at: 7 months ago - Pushed at: about 4 years ago - Stars: 116 - Forks: 13

lukecavabarrett/pna

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

Language: Python - Size: 704 KB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 341 - Forks: 55

arangoml/fastgraphml

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

Language: Python - Size: 479 KB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 68 - Forks: 8

sunfanyunn/graph-classification

A collection of graph classification methods

Language: OpenEdge ABL - Size: 2.83 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 42 - Forks: 4

mims-harvard/GraphXAI

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

Language: Python - Size: 249 MB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 166 - Forks: 29

caspervanengelenburg/msd-eccv24-page

Project page for the ECCV 2024 paper "MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes". ArXiv pre-print: https://arxiv.org/abs/2407.10121.

Language: JavaScript - Size: 30.7 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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.

Language: Verilog - Size: 26.8 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 103 - Forks: 19

chenxuhao/GraphAIBench

A benchmark suite for Graph Machine Learning

Language: C++ - Size: 27.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 16 - Forks: 9

LaurenzSommerlad/TUM.ai-Makeathon2024-Amigo-Challenge

Detection of rare child diseases by applying graph machine learning to a remote dataset with federated machine learning

Language: HTML - Size: 4.73 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

Keerthiraj-Nagaraj/Yelp-rating-prediction-with-neo4j-graph-embeddings-and-ML

Exploring machine learning and graph embedding concepts from Neo4j for training models to predict user rating for various restaurants from yelp data

Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

kyaw-yethu/DyGLib Fork of yule-BUAA/DyGLib

Graph machine learning architectures for learning temporal and spatial patterns of brain activation from fMRI images. Two downstream tasks are implemented: (1) brain activation prediction duration language tasks (link prediction) and (2) performance prediction from neural patterns (graph regression)

Language: Jupyter Notebook - Size: 217 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

twitter-research/lmsoc

Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 0

Desein-Yang/awesome-graph-structure-learning

A curated list of amazingly awesome things regarding Graph Structure Learning.

Size: 25.4 KB - Last synced at: 13 days ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

daiquocnguyen/Graph-Transformer

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

Language: Python - Size: 109 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 622 - Forks: 77

NYU-MLDA/ALMOST

ALMOST: Adversarial Learning to Mitigate Oracle-less ML Logic Locking Attacks via Synthesis Tuning

Language: Verilog - Size: 74.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

zhao-tong/graph-data-augmentation-papers

A curated list of graph data augmentation papers.

Size: 136 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 278 - Forks: 22

yang-su2000/Machine-Learning-Notebook

Machine learning self-notes, review the best papers across all times.

Language: Python - Size: 690 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

Orbifold/pyg-link-prediction

Pytorch Geometric link prediction of a homogeneous social graph.

Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 6

rohitmujumdar/fairness-in-graph-embeddings

Language: Jupyter Notebook - Size: 127 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

theadamsabra/node_embedders

Torch geometric compatible node embedders

Language: Python - Size: 40 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

theadamsabra/graph_ml_cs224w

Language: Jupyter Notebook - Size: 514 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tong-wu-umn/ME2Vec

Source code of ME2Vec.

Language: Python - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 3

tugrulhkarabulut/github-job-title-prediction

Models for predicting job titles of github users.

Language: Jupyter Notebook - Size: 899 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

AnonymousTEA/SEA-GWNN

This is a pytorch implementation of the paper "SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network"

Language: Python - Size: 490 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

mvisani/stellargraph Fork of stellargraph/stellargraph

StellarGraph - Machine Learning on Graphs

Language: Python - Size: 88.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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

Language: HTML - Size: 8.63 MB - Last synced at: 28 days ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 2