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57 search results found

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).

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

Gnn Recommender Systems ⭐ 551

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

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

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

A PyTorch Graph Neural Network Library

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).

Seal Ci ⭐ 201

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

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

tsl: a PyTorch library for processing spatiotemporal data.

Literatures On Gnn Acceleration ⭐ 173

A reading list for deep graph learning acceleration.

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.

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)

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

Scdeepsort ⭐ 93

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

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)

Awesome Drug Pair Scoring ⭐ 83

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

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

3dinfomax ⭐ 64

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

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

Gnnetworkingchallenge ⭐ 57

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

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

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

Osdi21_ae ⭐ 50

Artifact for OSDI'21 GNNAdvisor

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

Graph_neural_net ⭐ 36

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

Relpose Gnn ⭐ 33

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

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

Nebula Dgl ⭐ 30

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

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.

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)

[PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network

Gnn_in_neurips_2019 ⭐ 20

A comprehensive collection of GNN works in NeurIPS 2019.

[NLPCC 2020] Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks

Conformalized Gnn ⭐ 17

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)

G3: A Programmable GNN Training System on GPU

Mlpinit For Gnns ⭐ 17

[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

Solubility Prediction With Graph Neural Networks ⭐ 16

GNN, GCN, Molecular Solubility, RDKit, Cheminformatics

How to fuse a population of graphs into a single one using graph neural networks?

Neuralgraphpde.jl ⭐ 15

Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

Point Cloud Galaxy Diffusion ⭐ 15

Dffusion modeling for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141

Gemnet_tf ⭐ 14

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

Pyg Ogb Tricks ⭐ 13

Bags of Tricks in OGB (node classification) with GCNs.

Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)

Extended Simgnn ⭐ 11

A PyTorch Geometric implementation of SimGNN with some extensions.

Representing Programs With Graphs ⭐ 11

Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"

Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion

Cikm2023direc ⭐ 10

Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"

Log 2023 Gnns Recsys ⭐ 9

Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)

Sssnet_signed_clustering ⭐ 9

Official code for the SDM2022 paper -- SSSNET: Semi-Supervised Signed Network Clustering.

Kgcn_keras ⭐ 9

A Pure Keras Implementation of Knowledge Graph Convolution Network for Recommendation

Gnn For Combinatorial Optimization ⭐ 8

JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.

Text Level Gnn ⭐ 8

Text Level Graph Neural Network for Text Classification

Linkless Link Prediction ⭐ 7

[ICML 2023] Linkless Link Prediction via Relational Distillation

Graph In Recommendation Systems ⭐ 7

GNNs in Recommendation Systems

CrysXPP: An Explainable Property Predictor for Crystalline Materials (NPJ Computational Materials - 2022)

Gnn_latest_papers ⭐ 6

The latest research papers on graph representation learning[图神经网络最新论文汇总，持续更新中，欢迎关注]

DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano and Nuria Oliver.

Gnn Over Smoothing ⭐ 6

A Note On Over-Smoothing for Graph Neural Network

Gnn Learning And Integration ⭐ 5

Awesome GNN Learning For beginners

Hegnnenhancecnn ⭐ 5

Graph + Image Bimodal Deep Learning for Histology Image Classification

Graph Transformer Psiml ⭐ 5

Transformer implemented with graph attention network layers from PyTorch Geometric

HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.

Scdeepsort_performance_comparison ⭐ 5

The source code and results for different methods on annotating external testing datsets of human and mouse.

Machine Learning With Graphs ⭐ 5

My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)

Python Framework for An Investigation into Unsupervised GNN Learning Environments

4d Fedgnn Plus ⭐ 5

Federating temporally-varying graph timeseries

E Graphsage ⭐ 5

A PyTorch implementation of of E-GraphSAGE.

Pytorch_gnn_implementation ⭐ 5

PyTorch implementation of GNN models

Reproduciblefedgnn ⭐ 5

Investigating the reproducibility of federated GNN models

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