Awesome Open Source

Programming Languages

Search results for machine learning graph neural networks

graph-neural-networks x

machine-learning x

109 search results found

Deep Learning Drizzle ⭐ 10,767

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Anomaly Detection Resources ⭐ 7,616

Anomaly detection related books, papers, videos, and toolboxes

Stellargraph ⭐ 2,768

StellarGraph - Machine Learning on Graphs

Ai_tutorial ⭐ 2,395

精选机器学习，NLP，图像识别，深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

Awesome Semi Supervised Learning ⭐ 1,573

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Graph4nlp ⭐ 1,533

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

Awesome Self Supervised Gnn ⭐ 1,356

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Jraph ⭐ 1,233

A Graph Neural Network Library in Jax

Awesome Graph Self Supervised Learning ⭐ 1,194

Awesome Graph Self-Supervised Learning

Ktrain ⭐ 1,188

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Capsgnn ⭐ 1,180

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Graph Fraud Detection Papers ⭐ 1,148

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Jraph ⭐ 1,141

A Graph Neural Network Library in Jax

Pygod ⭐ 1,138

A Python Library for Graph Outlier Detection (Anomaly Detection)

Awesome Fl ⭐ 1,103

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Deeprobust ⭐ 904

A pytorch adversarial library for attack and defense methods on images and graphs

Gnns Recipe ⭐ 791

🟠 A study guide to learn about Graph Neural Networks (GNNs)

Chemicalx ⭐ 657

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

Awesome Deep Graph Clustering ⭐ 626

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

Datasets ⭐ 521

A repository of pretty cool datasets that I collected for network science and machine learning research.

Awesome Graph Transformer ⭐ 507

Papers about graph transformers.

Graphwaveletneuralnetwork ⭐ 501

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Awesome Graph Explainability Papers ⭐ 486

Papers about explainability of GNNs

Gluestick ⭐ 461

Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)

Dgfraud ⭐ 432

A Deep Graph-based Toolbox for Fraud Detection

Geometricflux.jl ⭐ 334

Geometric Deep Learning for Flux

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

Awesome Graph Attack Papers ⭐ 315

Adversarial attacks and defenses on Graph Neural Networks.

Pytorch Geometric Yoochoose ⭐ 312

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Graphstorm ⭐ 306

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

Attentionwalk ⭐ 299

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

DANCE: A Deep Learning Library and Benchmark Platform for Single-Cell Analysis

Pyneuralogic ⭐ 261

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

Programl ⭐ 253

A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Diffsbdd ⭐ 227

A Euclidean diffusion model for structure-based drug design.

Pro Gnn ⭐ 213

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Histocartography ⭐ 207

A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

Machinelearning Ai ⭐ 184

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).

Graphneuralnetworks.jl ⭐ 181

Graph Neural Networks in Julia

Representation Learning On Heterogeneous Graph ⭐ 178

Representation-Learning-on-Heterogeneous-Graph

Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov

Gnn Fakenews ⭐ 136

A collection of GNN-based fake news detection models.

Care Gnn ⭐ 127

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Fusilli ⭐ 120

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

Awesome Graph Causal Learning ⭐ 108

A list of Graph Causal Learning materials.

Ai Nlp Paper Readings ⭐ 107

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Awesome Graph Ood ⭐ 91

Papers about out-of-distribution generalization on graphs.

Awesome Drug Pair Scoring ⭐ 85

Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

Awesome Artificial Intelligence Research ⭐ 80

A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

Awesome Graph Anomaly Detection ⭐ 78

A collection of papers for graph anomaly detection, and published algorithms and datasets.

Awesome Auto Graph Learning ⭐ 77

A paper collection about automated graph learning

Graphnet ⭐ 75

Graph neural networks for neutrino telescope event reconstruction

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

Signnet Basisnet ⭐ 71

SignNet and BasisNet

Grape Book ⭐ 70

图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book

Bipartite-network link prediction in Python

Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"

Graphml Tutorials ⭐ 63

Tutorials for Machine Learning on Graphs

Clinical Trial Outcome Prediction ⭐ 60

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

Gitmodel ⭐ 59

machine code+i git matrix + user

Raindrop ⭐ 58

Graph Neural Networks for Irregular Time Series

Dgfraud Tf2 ⭐ 57

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Gnnetworkingchallenge ⭐ 57

RouteNet baseline for the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/)

Eeg Gcnn ⭐ 56

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Easydist ⭐ 55

Automated Parallelization System and Infrastructure for Multiple Ecosystems

python library for atomistic machine learning

Fraud Detection Papers ⭐ 45

Learning Fraud Detection from research papers and industry applications.

🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Tagging, and more!

Physics Aware Multiplex Gnn ⭐ 35

Code for our Nature Scientific Reports paper "A universal framework for accurate and efficient geometric deep learning of molecular systems"

[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

Deepinteract ⭐ 33

A geometric deep learning pipeline for predicting protein interface contacts.

Code for "Learning Graph Cellular Automata" (NeurIPS 2021).

Relpose Gnn ⭐ 33

[3DV21] Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, M. Türkoǧlu et al.

Official implementation of DrugGEN

Stablegnn ⭐ 31

Framework for autonomous learning of explainable graph neural networks

An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.

Graphretro ⭐ 29

Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)

Isogcn Iclr2021 ⭐ 28

IsoGCN code for ICLR2021

Graph Posterior Network ⭐ 27

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)

Fastgraphml ⭐ 27

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

Haiku Geometric ⭐ 26

A collection of graph neural networks implementations in JAX

G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

Graph Papers ⭐ 21

Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.

Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

Introduction To Deep Learning And Neural Networks Course ⭐ 16

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Awesome Graph Reduction ⭐ 16

Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.

Continual Skeletons ⭐ 16

Official codebase for "Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks"

Galevo23 Tutorials ⭐ 16

Tutorials for the KITP Galevo23 program

Awesome Graph Self Supervised Learning Based Recommendation ⭐ 15

A curated list of awesome graph & self-supervised-learning-based recommendation.

Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)

GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.

The message passing GAN https://arxiv.org/abs/2106.11535 and generative adversarial particle transformer https://arxiv.org/abs/2211.10295 architectures for generating particle clouds

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

[Arxiv-2023] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"

Related Searches

Python Machine Learning (14,099)

Jupyter Notebook Machine Learning (12,247)

Machine Learning Neural Network (4,397)

Machine Learning Tensorflow (4,050)

Machine Learning Natural Language Processing (3,891)

Machine Learning Artificial Intelligence (3,877)

Machine Learning Data Science (3,802)

Machine Learning Pytorch (2,910)

Machine Learning Dataset (2,298)

Machine Learning Computer Vision (1,966)

1-100 of 109 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2025 Awesome Open Source. All rights reserved.