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Search results for deep learning graph neural networks

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246 search results found

Social Recommendation ⭐ 97

Summary of social recommendation papers and codes

Graph meta learning via local subgraphs (NeurIPS 2020)

Walklets ⭐ 96

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Graphlearn For Pytorch ⭐ 96

A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

Scdeepsort ⭐ 93

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

Awesome Graph Ood ⭐ 91

Papers about out-of-distribution generalization on graphs.

Pgexplainer ⭐ 90

Parameterized Explainer for Graph Neural Network

Graph Neural Network Course ⭐ 89

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

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

Awesome Drug Pair Scoring ⭐ 83

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

Automl Tutorial ⭐ 83

Tutorials about AutoML

Equidock_public ⭐ 81

EquiDock: geometric deep learning for fast rigid 3D protein-protein docking

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 Auto Graph Learning ⭐ 77

A paper collection about automated graph learning

Cogdl Tensorflow ⭐ 76

CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.

Graphnet ⭐ 75

Graph neural networks for neutrino telescope event reconstruction

Crystal Graph Neural Networks

Implementation of "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyTorch Geometric

Graph Learning Reading List ⭐ 73

Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

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"

Graphmae2 ⭐ 64

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

Chroma Pytorch ⭐ 63

Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch

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.

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.

Simple Equivariant Gnn ⭐ 59

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

AAAI 2021-Deep Fusion Clustering Network

Raindrop ⭐ 58

Graph Neural Networks for Irregular Time Series

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.

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

Easydist ⭐ 55

Automated Parallelization System and Infrastructure for Multiple Ecosystems

Learning Tsp ⭐ 53

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

Spatial-Linked Alignment Tool

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

Osdi21_ae ⭐ 50

Artifact for OSDI'21 GNNAdvisor

Proteingcn ⭐ 47

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Deepsphere Weather ⭐ 46

A spherical CNN for weather forecasting

Fraud Detection Papers ⭐ 45

Learning Fraud Detection from research papers and industry applications.

Adjacent Attention Network ⭐ 45

Graph neural network message passing reframed as a Transformer with local attention

Kdd_cup_2020_debiasing_rush ⭐ 44

Solution to the Debiasing Track of KDD CUP 2020

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

Graphood Gnnsafe ⭐ 42

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

Locally Private Graph Neural Networks (ACM CCS 2021)

[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"

Graph_neural_net ⭐ 36

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

[IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction

Gcnnmatch ⭐ 36

This repository is the official code implementation of the paper GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization.

Selftask Gnn ⭐ 35

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

Graphtrans ⭐ 35

Representing Long-Range Context for Graph Neural Networks with Global Attention

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

Kaggle Champs ⭐ 34

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

Mapfe4mp ⭐ 34

Official repository for Efficient Baselines for Motion Prediction in Autonomous Driving. Presented at CVPR and ICRA Workshops 2022, and ITSC conference 2022.

Awesome Graph Pde ⭐ 34

Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation

Molgraph ⭐ 34

Graph neural networks for molecular machine learning. Implemented and compatible with TensorFlow and Keras.

Deepinteract ⭐ 33

A geometric deep learning pipeline for predicting protein interface contacts.

Relpose Gnn ⭐ 33

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

[TNNLS-2023] This is the PyTorch implementation of LGGNet.

Tc Gnn_atc23 ⭐ 31

Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.

Official implementation of DrugGEN

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

Robust Gcn ⭐ 29

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Buildingnet_dataset ⭐ 29

Pre Training Via Denoising ⭐ 29

Official implementation of pre-training via denoising for TorchMD-NET

Chainer Nri ⭐ 29

Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer

Isogcn Iclr2021 ⭐ 28

IsoGCN code for ICLR2021

Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks

[SGP 2021] Scalable Surface Reconstruction with Delaunay-Graph Neural Networks

Code for "An adaptive graph learning method for automated molecular interactions and properties predictions".

Haiku Geometric ⭐ 26

A collection of graph neural networks implementations in JAX

Airobject ⭐ 26

AirObject: A Temporally Evolving Graph Embedding for Object Identification (CVPR 2022)

This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495

Graph Reinforcement Learning Papers ⭐ 25

A curated list of graph reinforcement learning papers.

Graph Pooling Papers ⭐ 24

Papers on Graph Pooling (GNN-Pooling)

Mgg_osdi23 ⭐ 24

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

Well Classified Examples Are Underestimated ⭐ 24

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Shepherd ⭐ 23

SHEPHERD: Deep learning for diagnosing patients with rare genetic diseases

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

Open source machine learning for graph-structured data

Graphino ⭐ 22

Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks". This paper is currently under review.

Recommender Systems Paper ⭐ 21

Must-read Papers for Recommender Systems (RS)

Graph Papers ⭐ 21

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

Gated Graph Transformers ⭐ 19

Transformers are Graph Neural Networks!

Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level.

TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Eﬀect Prediction (GRL@NeurIPS, 2019)

Official source code for "Roto-translated Local Coordinate Frames For Interacting Dynamical Systems". In NeurIPS 2021

Dual Dmp ⭐ 18

Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks [ECCV 2022]

Graph neural networks for autonomous driving

This repo is the official implementation of "Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks" published in IEEE Transactions on Medical Imaging.

Compy Learn ⭐ 17

ComPy-Learn is a framework for exploring program representations for ML4CODE tasks.

Deepsphere Cosmo Tf2 ⭐ 17

A spherical convolutional neural network for cosmology (TFv2).

Mlpinit For Gnns ⭐ 17

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

The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.

Node Select ⭐ 17

NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique

Continual Skeletons ⭐ 16

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

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