An open API service providing repository metadata for many open source software ecosystems.

Topic: "gcnn"

abduallahmohamed/Social-STGCNN

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

Language: Python - Size: 5.74 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 423 - Forks: 136

maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Language: Python - Size: 3.13 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 247 - Forks: 65

rusty1s/embedded_gcnn

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

Language: Jupyter Notebook - Size: 23.8 MB - Last synced at: 30 days ago - Pushed at: almost 7 years ago - Stars: 78 - Forks: 13

DeepLearnPhysics/dynamic-gcnn

Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

Language: Python - Size: 114 KB - Last synced at: 16 days ago - Pushed at: over 6 years ago - Stars: 64 - Forks: 11

armanihm/GDC

Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

Language: Python - Size: 1.69 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 44 - Forks: 15

abduallahmohamed/Skeleton-Graph

Code for: "Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs", ICCV2021 Workshops

Language: Python - Size: 36.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 6

mukul54/inter-iit-bridgei2i

Automated Headline generation and Aspect Based Sentiment Analysis

Language: Jupyter Notebook - Size: 46.8 MB - Last synced at: 12 months ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 6

sudatta0993/Dynamic-Congestion-Prediction

Algorithms for prediction of congestion from Network State

Language: Python - Size: 5.05 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 15 - Forks: 4

miraliahmadli/MoCapSolver

Marker-Based Motion Capture Data Denoising

Language: Python - Size: 809 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 1

gulabpatel/Graph_Neural_Network

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

abduallahmohamed/HAR-GCNN

Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022

Language: Python - Size: 566 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 2

R3c0ger/CialloDroid

Android Malware Detection Model Based on Graph Neural Network

Language: Python - Size: 3.03 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

balcilar/GCNNCourseCodes

Graph Analysis Course Notes

Language: Python - Size: 530 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

yanwu-ge/Res-GCNN

A Lightweight Residual Graph CNN for Pedestrians Trajectory Prediction

Size: 79.9 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

Aveek-Saha/Graph-Conv-Net

A TensorFlow 2 implementation of Graph Convolutional Networks (GCN)

Language: Python - Size: 174 KB - Last synced at: 19 days ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

ScottCalcalas/GCNN

Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages

Language: Jupyter Notebook - Size: 2.09 MB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

odinhg/Group-Equivariant-Convolutional-Neural-Network-INF367A

Weather prediction on stereo images using a graph equivariant convolutional neural network.

Language: Python - Size: 24.6 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

saswat19102/-Classification-of-technical-papers-using-Graph-Convolutional-Neural-Networks

Language: Jupyter Notebook - Size: 211 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

carrascomj/gcn-prot

Graph convolutional networks for structural learning of proteins

Language: Jupyter Notebook - Size: 20.4 MB - Last synced at: 20 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

Panos13L/GraphCNN-Network-EEG-Emotion-Classification

GraphCNN + CNN Network for EEG Emotion Recognition

Language: Jupyter Notebook - Size: 126 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

miladpayandehh/Classification-using-Graph-Convolutional-Network

A Graph Convolutional Network, or GCN, is an approach for semi-supervised learning on graph-structured data. It is based on an efficient variant of convolutional neural networks which operate directly on graphs.

Language: Jupyter Notebook - Size: 373 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

fercrcode/sKG4cellCommns

Yale Collab with Aarthi (Smita Krishnaswamy group) where I built signalling knowledge graphs to capture cell communications.

Language: Jupyter Notebook - Size: 222 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Related Topics
graph-convolutional-networks 8 deep-learning 5 gcn 5 cnn 4 graph-neural-networks 4 tensorflow 3 graph 3 trajectory-prediction 2 pedestrians 2 convolutional-neural-networks 2 neural-network 2 graphneuralnetwork 2 pytorch 2 python 2 kg 1 hgcn 1 cell-communication 1 pointcloud 1 residual-networks 1 point-cloud 1 social-interactions 1 bayesian-deep-learning 1 graph-convolutional-neural-networks 1 graph-convolutional-network 1 graph-cnn 1 bayesian-neural-networks 1 deep-neural-networks 1 graph-deep-learning 1 graph-neural-network 1 3d-classification 1 deep-neural-network 1 classification 1 machine-learning 1 dgcnn 1 custom-data 1 spectral 1 spatial 1 tensorflow2 1 tensoflow 1 graphs 1 proteins 1 malware-detection 1 malware 1 gnn 1 android 1 graph-convolutional-neural-network 1 epilepsy 1 electroencephalography 1 group-equivariant-neural-network 1 seed-dataset 1 emotion-recognition 1 eeg 1 graphclassification 1 enzymes 1 transr 1 transe 1 omics 1 kge 1 autonomous-vehicles 1 headline-generation 1 aspect-based-sentiment-analysis 1 trajectory-forecasting 1 spatio-temporal-graph 1 spatio-temporal 1 skeleton-graph 1 pedestrian 1 motion-prediction 1 3d-skeleton 1 3d 1 semi-supervised-learning 1 human-activity-recognition 1 human-activity-prediction 1 human-action-recognition 1 har 1 deep-graph-networks 1 deep 1 mocap 1 denoising 1 neural-attention 1 lstm 1 congestion 1 python3 1 data-processing 1 transformer 1 rdkit-chem 1 rdkit 1 pygeometric 1 node2vec-embeddings 1 node2vec 1 node-classification 1 mlp-gcn 1 link-prediction 1 label-prediction 1 graph-prediction 1 gnn-xai 1 gcnconv 1 deepwalk 1 spatio-temporal-graphs 1 social-stgcnn 1 realtime 1