Projects in Awesome Lists tagged with graph-convolution

https://github.com/benedekrozemberczki/pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

deep-learning gcn gnn graph-convolution graph-convolutional-networks graph-embedding graph-neural-networks network-embedding network-science node-embedding pytorch spatial-analysis spatial-data spatio-temporal-analysis spatio-temporal-data spatiotemporal temporal-data temporal-graphs temporal-networks

Last synced: 23 Apr 2025

https://github.com/benedekrozemberczki/capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

capsgnn capsule-network capsule-neural-networks convolution deep-learning deepwalk gnn graph-attention-model graph-attention-networks graph-classification graph-convolution graph-neural-network machine-learning node2vec pytorch research sklearn struc2vec tensorflow

Last synced: 16 May 2025

https://github.com/benedekrozemberczki/CapsGNN

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

capsgnn capsule-network capsule-neural-networks convolution deep-learning deepwalk gnn graph-attention-model graph-attention-networks graph-classification graph-convolution graph-neural-network machine-learning node2vec pytorch research sklearn struc2vec tensorflow

Last synced: 27 Mar 2025

https://github.com/benedekrozemberczki/clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

clustering community-detection deep-learning deepwalk diff2vec gcn gemsec graph-clustering graph-convolution graph-convolutional-networks graph-neural-networks graph2vec graphsage louvain metis musae neural-network node-classification node2vec pytorch

Last synced: 04 Apr 2025

https://github.com/benedekrozemberczki/SimGNN

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

attention-mechanism deep-learning gcn ged gnn graph-attention graph-classification graph-convolution graph-edit-distance graph-embedding graph-similarity machine-learning network-embedding neural-network pytorch simgnn sklearn tensor-network tensorflow wsdm

Last synced: 21 Jul 2025

https://github.com/benedekrozemberczki/simgnn

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

attention-mechanism deep-learning gcn ged gnn graph-attention graph-classification graph-convolution graph-edit-distance graph-embedding graph-similarity machine-learning network-embedding neural-network pytorch simgnn sklearn tensor-network tensorflow wsdm

Last synced: 13 Apr 2025

https://github.com/benedekrozemberczki/ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

clustering community-detection deep-learning deepwalk diff2vec gcn gemsec graph-clustering graph-convolution graph-convolutional-networks graph-neural-networks graph2vec graphsage louvain metis musae neural-network node-classification node2vec pytorch

Last synced: 01 May 2025

https://github.com/benedekrozemberczki/datasets

A repository of pretty cool datasets that I collected for network science and machine learning research.

benchmark community-detection data-science dataset deepwalk dimensionality-reduction gcn gnn graph-convolution graph-embedding graph-neural-network graph2vec link-prediction machine-learning network-analysis network-embedding network-science node-classification node-embedding node2vec

Last synced: 13 Feb 2026

https://github.com/benedekrozemberczki/graphwaveletneuralnetwork

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

convolutional-neural-networks deep-learning deepwalk gcn gpt2 gpt3 graph-convolution graph-convolutional-network graph-neural-networks graph-representation graphsage gwnn iclr machine-learning node2vec pytorch research sklearn tensorflow transformer

Last synced: 05 Apr 2025

https://github.com/benedekrozemberczki/GraphWaveletNeuralNetwork

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

convolutional-neural-networks deep-learning deepwalk gcn gpt2 gpt3 graph-convolution graph-convolutional-network graph-neural-networks graph-representation graphsage gwnn iclr machine-learning node2vec pytorch research sklearn tensorflow transformer

Last synced: 17 Apr 2025

https://github.com/benedekrozemberczki/mixhop-and-n-gcn

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

convolutional convolutional-layers convolutional-neural-networks deep-learning deepwalk gcn graph-attention graph-attention-networks graph-convolution graph-representation-learning machine-learning mixhop multi-scale ngcn node2vec pytorch pytorch-cnn tensorflow walklet walklets

Last synced: 06 Apr 2025

https://github.com/benedekrozemberczki/MixHop-and-N-GCN

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

convolutional convolutional-layers convolutional-neural-networks deep-learning deepwalk gcn graph-attention graph-attention-networks graph-convolution graph-representation-learning machine-learning mixhop multi-scale ngcn node2vec pytorch pytorch-cnn tensorflow walklet walklets

Last synced: 17 Apr 2025

https://github.com/benedekrozemberczki/sgcn

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

deep-learning deepwalk gcn gpt2 gpt3 graph-attention graph-convolution graph-embedding graph-neural-networks graphsage machine-learning network-embedding neural-network node-classification node2vec pytorch pytorch-geometric sgcn signed-network transformer

Last synced: 08 Apr 2025

https://github.com/benedekrozemberczki/SGCN

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

deep-learning deepwalk gcn gpt2 gpt3 graph-attention graph-convolution graph-embedding graph-neural-networks graphsage machine-learning network-embedding neural-network node-classification node2vec pytorch pytorch-geometric sgcn signed-network transformer

Last synced: 01 Apr 2025

https://github.com/benedekrozemberczki/gam

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

attention deep-reinforcement-learning deepwalk gcn graph-attention graph-classification graph-convolution graph2vec graphsage machine-learning neural-networks node2vec pytorch reinforcement-agent reinforcement-learning sklearn structural-attention transfer-learning

Last synced: 09 Apr 2025

https://github.com/benedekrozemberczki/GAM

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

attention deep-reinforcement-learning deepwalk gcn graph-attention graph-classification graph-convolution graph2vec graphsage machine-learning neural-networks node2vec pytorch reinforcement-agent reinforcement-learning sklearn structural-attention transfer-learning

Last synced: 27 Mar 2025

https://github.com/ConanCui/Paper-List

A reading paper list which is mainted daily

deep-learning graph-convolution graph-embedding heterogeneous recomendation

Last synced: 01 May 2025

https://github.com/benedekrozemberczki/seal-ci

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

active-learning active-learning-module deep-learning deep-learning-algorithms deepwalk gcn gnn graph-classification graph-convolution graph-convolutional-networks graph-embedding graph-neural-network graph-neural-networks graph-representation-learning machine-learning-algorithms network-embedding node-classification node2vec pytorch tensorflow

Last synced: 06 May 2025

https://github.com/benedekrozemberczki/SEAL-CI

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

active-learning active-learning-module deep-learning deep-learning-algorithms deepwalk gcn gnn graph-classification graph-convolution graph-convolutional-networks graph-embedding graph-neural-network graph-neural-networks graph-representation-learning machine-learning-algorithms network-embedding node-classification node2vec pytorch tensorflow

Last synced: 27 Mar 2025

https://github.com/aimat-lab/gcnn_keras

Graph convolutions in Keras with TensorFlow, PyTorch or Jax.

graph-algorithms graph-convolution graph-networks graphs machine-learning molecules networks neural-networks ragged-tensors

Last synced: 03 Feb 2026

https://github.com/benedekrozemberczki/walklets

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

deep-learning deepwalk dimensionality-reduction dont-walk-skip edge-prediction embedding gensim graph-convolution graph-embedding graph-mining graph-neural-networks graphlet machine-learning multiscale node-classification node-embedding node2vec walklet word-embedding word2vec

Last synced: 11 Apr 2025

https://github.com/benedekrozemberczki/tene

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

asne attributed-embedding deep-learning deepwalk feature-extraction graph-convolution graph-embedding graph-neural-network implicit-factorization machine-learning matrix-decomposition matrix-factorization network-embedding node-classification node-embedding node2vec pattern-recognition pytorch tadw tensorflow

Last synced: 11 Apr 2025

https://github.com/benedekrozemberczki/TENE

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

asne attributed-embedding deep-learning deepwalk feature-extraction graph-convolution graph-embedding graph-neural-network implicit-factorization machine-learning matrix-decomposition matrix-factorization network-embedding node-classification node-embedding node2vec pattern-recognition pytorch tadw tensorflow

Last synced: 17 Apr 2025

https://github.com/FangpingWan/NeoDTI

NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

bioinformatics computational-biology deep-learning graph-convolution machine-learning

Last synced: 11 May 2025

https://github.com/diegovalsesia/GraphCNN-GAN

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

gan generative-adversarial-network generative-model graph-convolution point-clouds shapenet

Last synced: 20 Mar 2025

https://github.com/benedekrozemberczki/feather

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

data-mining deep-learning deep-neural-networks deepwalk graph graph-classification graph-convolution graph-embedding graph-kernel graph2vec machine-learning network-embedding networkx neural-network node-classification node-embedding node2vec pytorch representation-learning tensorflow

Last synced: 11 Apr 2025

https://github.com/benedekrozemberczki/FEATHER

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

data-mining deep-learning deep-neural-networks deepwalk graph graph-classification graph-convolution graph-embedding graph-kernel graph2vec machine-learning network-embedding networkx neural-network node-classification node-embedding node2vec pytorch representation-learning tensorflow