111 Open Source Gcn Software Projects
Free and open source gcn code projects including engines, APIs, generators, and tools.
Graph Cnn In 3D Point Cloud Classification224 ⭐
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
Pytorch implementation of GCN architecture for semantic segmentation
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
A _guide_ To_data_sciecne_from_mathematics22 ⭐
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
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)
Mixhop And N Gcn374 ⭐
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
Graph Neural Network Pyg34 ⭐
PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.
Benedekrozemberczki Datasets402 ⭐
A repository of pretty cool datasets that I collected for network science and machine learning research.
Seal Ci187 ⭐
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Rgcn With Bert110 ⭐
Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]
Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Geniepath Pytorch87 ⭐
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
Pedestrian Attribute Recognition With Gcn68 ⭐
Pytorch implementation of pedestrian attribute recognition with graph convolutional network
Representation Learning on Graphs with Jumping Knowledge Networks
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Nyxflower Tip15 ⭐
TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Eﬀect Prediction ([email protected], 2019)
Smart contract vulnerability detection using graph neural network (DR-GCN).
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Malllabiisc Asap71 ⭐
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Kuoluo1995 Text Classification27 ⭐
CNN,RNN ,Activation functions, Graph Convolutional Networks(GCN) for Text Classification
[FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms"
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
L2 Gcn22 ⭐
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
Text Gcn48 ⭐
A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)
PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Push Tester47 ⭐
npx script for testing push messages, no installation required, supports iOS & Android
This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.
Aprbw Traffic_prediction129 ⭐
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
The PyTorch 1.6 and Python 3.7 implementation for the paper Semi-Supervised Classification with Graph Convolutional Networks
Pulkit1joshi Simgnn18 ⭐
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
Mgu Net27 ⭐
Multi-Scale GCN-Assisted Two-Stage Network for Joint Segmentation of Retinal Layers and Disc in Peripapillary OCT Images
Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Patch Gcn31 ⭐
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.
Official PyTorch code of DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization (ICCV 2021 Oral).
Gnn Recommender Systems229 ⭐
An index of recommendation algorithms that are based on Graph Neural Networks.
Graph Based Image Classification37 ⭐
Implementation of Planar Graph Convolutional Networks in TensorFlow