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Search results for gnn

198 search results found

Gnnpapers ⭐ 15,156

Must-read papers on graph neural networks (GNN)

Pytorch_geometric_temporal ⭐ 2,386

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

Graph Learn ⭐ 1,239

An Industrial Graph Neural Network Framework

Capsgnn ⭐ 1,180

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

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Gunrock ⭐ 908

Programmable CUDA/C++ GPU Graph Analytics

Graphneuralnetwork ⭐ 721

《深入浅出图神经网络：GNN原理解析》配套代码

Graphneuralnetwork ⭐ 568

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

Gnn Recommender Systems ⭐ 551

An index of recommendation algorithms that are based on Graph Neural Networks.

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Datasets ⭐ 521

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

Efficient Gnns ⭐ 490

Code and resources on scalable and efficient Graph Neural Networks

Awesome Pretrain On Molecules ⭐ 440

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

Papers For Molecular Design Using Dl ⭐ 367

List of molecular design using Generative AI and Deep Learning

Libgrape Lite ⭐ 345

🍇 A C++ library for parallel graph processing (GRAPE) 🍇

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

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

A PyTorch Graph Neural Network Library

Ggnn.pytorch ⭐ 302

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

The PyTorch version of STGCN.

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).

Awesome Federated Learning On Graph And Gnn Papers ⭐ 225

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

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).

Tokengt ⭐ 209

[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch

Seal Ci ⭐ 206

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

Neuraloperators.jl ⭐ 206

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

Realtime Fraud Detection With Gnn On Dgl ⭐ 191

An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.

tsl: a PyTorch library for processing spatiotemporal data.

Literatures On Gnn Acceleration ⭐ 173

A reading list for deep graph learning acceleration.

The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。

Gnn_note ⭐ 158

图神经网络整理

What I Have Read ⭐ 149

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

Diffnet ⭐ 143

Graph Neural Network based Social Recommendation Model. SIGIR2019.

3dgnn_pytorch ⭐ 142

3D Graph Neural Networks for RGBD Semantic Segmentation

Gnns In Network Neuroscience ⭐ 141

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

Gcn With Bert ⭐ 140

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

Gemnet_pytorch ⭐ 136

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

Lamda Ssl ⭐ 130

30 Semi-Supervised Learning Algorithms

An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

Gnn Lspe ⭐ 114

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Gnn_for_ehr ⭐ 103

Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

Coolgraph ⭐ 103

Make GNN easy to start with

Pytorch_geometric_signed_directed ⭐ 96

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

Scdeepsort ⭐ 93

Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network

Learning cell communication from spatial graphs of cells

Geniepath Pytorch ⭐ 91

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

Ai Paper Drawer ⭐ 88

人工智能论文关键点集结。This project aims to collect key points of AI papers.

Awesome Drug Pair Scoring ⭐ 85

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

Vectornet ⭐ 84

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

Torchsketch ⭐ 83

Dgsparse Lib ⭐ 79

PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Grape Book ⭐ 70

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

Bottleneck ⭐ 65

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

3dinfomax ⭐ 64

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Tugraph Antgraphlearning ⭐ 63

Ant Graph Learning (AGL) provides a comprehensive solution for graph learning tasks at an industrial scale.

Igb Datasets ⭐ 63

Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards and in collaboration with NVIDIA Research.

Graphmix ⭐ 60

Code for reproducing results in GraphMix paper

Simple Equivariant Gnn ⭐ 59

A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks

Egt_pytorch ⭐ 58

Edge-Augmented Graph Transformer

A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"

Gnnetworkingchallenge ⭐ 57

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

Wholegraph ⭐ 56

WholeGraph - large scale Graph Neutral Networks

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

Awesome Denovo Papers ⭐ 53

Awesome De novo drugs design papers

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Causing: CAUsal INterpretation using Graphs

Graphml Class ⭐ 50

Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques

Osdi21_ae ⭐ 50

Artifact for OSDI'21 GNNAdvisor

Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"

A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

Regression Graph Neural Network (regGNN) for cognitive score prediction.

Gnn Re Ranking ⭐ 41

A real-time GNN-based method. Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

Doc2graph ⭐ 41

Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

[NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch

Spatiotemporal_datasets ⭐ 39

Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

Graph_neural_net ⭐ 36

Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)

Meta Fine Tuning ⭐ 36

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

Relpose Gnn ⭐ 33

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

Mmgnn_textvqa ⭐ 32

A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text

This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'. (published in Bioinformatics'21)

Pyscf Ipu ⭐ 32

Pytorch Direct_dgl ⭐ 32

PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)

An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))

Nebula Dgl ⭐ 30

NebulaGraph DGL(Deep Graph Library) Integration Package. (WIP)

Recsys Tutorial ⭐ 30

Tutorials and examples of various recommender systems in industrial applications

[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.

Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"

Synthetic_coordinates ⭐ 27

Synthetic coordinates for GNNs, as proposed in "Directional Message Passing on Molecular Graphs via Synthetic Coordinates" (NeurIPS 2021)

Dgl Tutorial ⭐ 27

This Repository includes DGL tutorials and various information related to graph neural networks.

Essentials ⭐ 26

❤️ CUDA/C++ GPU graph analytics simplified.

Gnn_tracking ⭐ 24

Charged particle tracking with graph neural networks

Maxp_dgl_graph ⭐ 24

2021 MAXP 命题赛任务一：基于DGL的图机器学习任务。队伍：Graph@ICT，🥉rank6。https://www

Mgg_osdi23 ⭐ 24

Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.

A portable framework to map DFG (dataflow graph, representing an application) on spatial accelerators.

Otcoarsening ⭐ 23

Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport

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

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