Awesome Open Source

Programming Languages

Search results for python graph neural networks

graph-neural-networks x

500 search results found

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Anomaly Detection Resources ⭐ 7,616

Anomaly detection related books, papers, videos, and toolboxes

Recbole ⭐ 3,038

A unified, comprehensive and efficient recommendation library

Stellargraph ⭐ 2,768

StellarGraph - Machine Learning on Graphs

Pytorch_geometric_temporal ⭐ 2,386

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Spektral ⭐ 2,317

Graph Neural Networks with Keras and Tensorflow 2.

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

A library for graph deep learning research

Supergluepretrainednetwork ⭐ 1,632

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

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).

Torchdrug ⭐ 1,297

A powerful and flexible machine learning platform for drug discovery

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).

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)

Autogl ⭐ 1,035

An autoML framework & toolkit for machine learning on graphs.

Deep_gcns_torch ⭐ 940

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

Graphein ⭐ 932

Protein Graph Library

Deeprobust ⭐ 904

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

Pretrain Gnns ⭐ 805

Strategies for Pre-training Graph Neural Networks

Powerful Gnns ⭐ 762

How Powerful are Graph Neural Networks?

Openhgnn ⭐ 737

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Clustergcn ⭐ 691

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

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"

Dgl Lifesci ⭐ 558

Python package for graph neural networks in chemistry and biology

Graphgps ⭐ 508

Recipe for a General, Powerful, Scalable Graph Transformer

Deepsnap ⭐ 502

Python library assists deep learning on graphs

Graphwaveletneuralnetwork ⭐ 501

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

Efficient Gnns ⭐ 490

Code and resources on scalable and efficient Graph Neural Networks

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

Pick Pytorch ⭐ 442

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

Graphgallery ⭐ 440

GraphGallery is a gallery for benchmarking Graph Neural Networks.

Knowledge_graph_attention_network ⭐ 434

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Dgfraud ⭐ 432

A Deep Graph-based Toolbox for Fraud Detection

Graphcl ⭐ 417

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Graph Transformer ⭐ 408

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

Deephypergraph ⭐ 404

A pytorch library for graph and hypergraph computation.

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Social Stgcnn ⭐ 360

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

Egnn Pytorch ⭐ 340

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

Neural_graph_collaborative_filtering ⭐ 339

Neural Graph Collaborative Filtering, SIGIR2019

Graphgpt ⭐ 328

"GraphGPT: Graph Instruction Tuning for Large Language Models"

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

Equibind ⭐ 321

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

Heterogeneous Graph Neural Network

Graphstorm ⭐ 306

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

A PyTorch Graph Neural Network Library

Attentionwalk ⭐ 299

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

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

Mot_neural_solver ⭐ 295

Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

Graphtransformer ⭐ 285

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

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

Lanczosnetwork ⭐ 271

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

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

Mtad Gat Pytorch ⭐ 265

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

Pyneuralogic ⭐ 261

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

Torch Quiver ⭐ 256

PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

Graphmae ⭐ 253

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

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

Person Reid 3d ⭐ 243

TNNLS'22 🗽 Parameter-Efficient Person Re-identification in the 3D Space 🗽

Ai Competition Collections ⭐ 242

AI比赛经验帖子 & 训练和测试技巧帖子集锦（收集整理各种人工智能比赛经验帖）

Awesome Gnn Systems ⭐ 240

A list of awesome GNN systems.

Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

Molecule Generation ⭐ 229

Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation

Diffsbdd ⭐ 227

A Euclidean diffusion model for structure-based drug design.

Zincbase ⭐ 226

A batteries-included kit for knowledge graphs

Graph Matching Networks ⭐ 223

PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (ICML 2019).

Pro Gnn ⭐ 213

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

Geodiff ⭐ 211

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

Histocartography ⭐ 207

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

All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.

Difformer ⭐ 204

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

Splitter ⭐ 203

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Seal Ci ⭐ 201

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Spectral Clustering With Graph Neural Networks For Graph Pooling ⭐ 196

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

Gearnet ⭐ 196

GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)

Hierarchical Graph Pooling with Structure Learning

[NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining

Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)

tsl: a PyTorch library for processing spatiotemporal data.

Deep Graph Matching Consensus ⭐ 170

Implementation of "Deep Graph Matching Consensus" in PyTorch

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

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

Role2vec ⭐ 157

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Graph Convnet Tsp ⭐ 157

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

Recstudio ⭐ 153

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

Diffnet ⭐ 143

Graph Neural Network based Social Recommendation Model. SIGIR2019.

Graph_weather ⭐ 139

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

Rec_pangu ⭐ 138

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

Deepergnn ⭐ 138

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

Graphrec_pytorch ⭐ 137

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

Related Searches

Python Dataset (14,792)

Python Machine Learning (14,099)

Python Tensorflow (13,736)

Python Deep Learning (13,092)

Python Jupyter Notebook (12,976)

Python Network (11,495)

Python Algorithms (10,033)

Python Natural Language Processing (9,064)

Python Artificial Intelligence (8,580)

Python Pytorch (7,877)

1-100 of 500 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.