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
