graph-convolutional-neural-networks

There are 11 repositories under graph-convolutional-neural-networks topic.

weihua916 / powerful-gnns
How Powerful are Graph Neural Networks?
deep-learning graph-neural-networks graph-convolutional-neural-networks
Language:Python 1143
SuperBruceJia / EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
deep-learning eeg-classification eeg-signals-processing tensorflow motor-imagery-classification eeg-data cnn rnn gcn one-shot-learning residual-learning densenet resnet graph-convolutional-neural-networks lstm gru attention-mechanism fully-convolutional-networks transformer transformers
Language:Python 853
APPNP
benedekrozemberczki / APPNP
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
gcn pytorch graph-convolutional-neural-networks graph-neural-network research machine-learning deep-learning deepwalk node2vec graph-attention attention pagerank graph-classification graph-embedding node-embedding iclr deep-neural-networks ppnp network-embedding appnp
Language:Python 356
maggie0106 / Graph-CNN-in-3D-Point-Cloud-Classification
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
graph-convolutional-networks point-cloud graph gcn gcnn graph-cnn 3d-classification pointcloud convolutional-neural-networks graph-convolutional-neural-networks graph-convolutional-network
Language:Python 239
huawei-noah / BGCN
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
graph-convolutional-network graph-learning graph-neural-networks gcn graph-convolutional-neural-networks bayesian-neural-networks bayesian-graph-neural-networks gnn
Language:Python 148
Marigoldwu / A-Unified-Framework-for-Deep-Attribute-Graph-Clustering
This project is a scalable unified framework for deep graph clustering.
deep-clustering graph-clustering deep-learning graph-attention-networks graph-convolutional-neural-networks self-supervised-learning deep-graph-clustering data-mining deep-graph-clustering-framework machine-learning
Language:Python 73
UttaranB127 / STEP
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
graph-convolutional-networks graph-convolutional-neural-networks spatial-temporal-action-detection emotion-recognition gait gait-recognition affective-computing emotion-perception emotion-detection gait-analysis variational-autoencoder conditional-vae conditional-variational-autoencoder dataset-generation dataset
Language:Python 68
Frank-LIU-520 / DeepMoleNet
Deep learning for molecules quantum chemistry properties prediction
deep-learning graph-convolutional-neural-networks quantum-chemistry quantum-machine-learning
Language:Python 35
BDBC-KG-NLP / Covolution_over_Dependency_Tree_EMNLP2019
Here is the code for the paper ``Aspect-Level Sentiment Analysis via Convolution over Dependency Tree'' accepted by EMNLP2019.
aspect-based-sentiment-analysis graph-convolutional-neural-networks
Language:Python 20
rctzeng / ICML19-EgoCNN
Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
graph-embeddings convolutional-neural-networks scale-free-networks graph-networks graph-convolutional-neural-networks icml-2019 icml graph-neural-networks self-similarity interpretability
Language:Python 18
XzrTGMu / twin-nphard
Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
maximum-weighted-independent-set minimum-weighted-dominating-set steiner-tree steiner-tree-problem node-weighted-steiner-tree connected-dominating-set heuristics distributed-algorithm distributed-algorithms combinatorial-optimization combinatorics deterministic-policy-gradients graph-convolutional-networks graph-convolutional-neural-networks graph-neural-networks twin-networks moser-tardos-algorithm twin-based-critic greedy-algorithms approximation-algorithms
Language:Jupyter Notebook 8
farkoo / GNN-Citations
Node Classification with Graph Neural Networks
graph-neural-networks gnn node-classification centrality-measures feedforward-neural-networks graph-convolutional-neural-networks
Language:Jupyter Notebook 6
withai / Docked-protein-Interaction-ranking-using-graph-neural-networks
A deep learning library to rank protein complexes using graph neural networks
graph-neural-networks graph-convolutional-neural-networks graph-attention-network neural-networks protein-interaction-ranking protein-interaction pytorch
Language:Python 6
withai / Graph-Neural-Networks
A deep learning library for graph data structures
graph-neural-networks graph-convolutional-neural-networks graph-attention-networks neural-networks deep-learning
Language:Python 4
KhaiTTNguyen / Computational_Quantum_Chemistry
deep-learning graph-convolutional-neural-networks excited-states absorption-spectra
Language:Jupyter Notebook 3
caldi99 / Learning-From-Network-Project
unipd bagging boosting dei graph-convolutional-neural-networks graph-neural-networks recurrent-neural-networks dei-unipd rocchio-classifier convolutional-neural-networks support-vector-machines text-classification
Language:Python 2
itskalvik / 2s-AGCN
Unofficial Tensorflow implementation of the CVPR'19 paper "Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition"
skeleton-based-action-recognition tensorflow ntu-rgbd graph-convolutional-neural-networks
Language:Python 1
nmdl-mizo / lcaonet
LCAONet - MPNN including electronic structure and orbital information, physically motivatied by the LCAO method.
deep-learning graph-convolutional-neural-networks graph-neural-networks machine-learning materials-informatics pytorch machine-learning-interatomic-potential
Language:Python 1
RussH-code / Graph-Convolutional-Neural-Network-GCN
graph-convolutional-neural-networks gcn stellargraph-library cora-dataset node-embeddings deep-learning keras-tensorflow
Language:Jupyter Notebook 1
pranay-5374 / Sign-Language-Recognition-using-CNN-and-GCN
This project focuses on sign language recognition, using WLASL dataset for training models—one with CNN and the other with TGCN. The goal is to improve communication between the deaf and hearing communities, with potential applications in assistive technologies, education, and human-computer interaction.
computer-vision convolutional-neural-networks deep-learning graph-convolutional-neural-networks
Language:Jupyter Notebook
qinjisheng / Reading-List-for-Action-Recognition
The repository contains a reading list for action recognition.
action-recognition graph graph-contrastive-learning graph-convolutional-neural-networks graph-neural-networks skeleton-based-action-recognition
riccardocadei / GraphML-Contest-2019-Oracle-PoliMI
Multi‑label vertex classification on a protein‑protein interaction network generating a powerful embedding of its graph - @ Oracle Labs, Politecnico di Milano
graph-convolutional-neural-networks semi-supervised-learning
Language:Jupyter Notebook