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

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

• Updated May 30, 2026
• Python

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

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

• Updated Mar 18, 2023
• Python

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

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

• Updated Jan 12, 2023
• Python

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

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

• Updated Nov 6, 2022
• Python

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

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

• Updated Dec 20, 2025

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

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

• Updated Mar 18, 2023
• Python

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

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

• Updated Nov 6, 2022
• Python

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

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

• Updated Mar 18, 2023
• Python

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

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

• Updated Nov 6, 2022
• Python

Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"

python machine-learning real-time computer-vision deep-learning graph pytorch pose-estimation graph-convolution hopenet cvpr2020 hope-net

• Updated Oct 1, 2020
• Python

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

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

• Updated Nov 6, 2022
• Python

This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification

computer-vision deep-learning geometric-deep-learning graph-convolution

• Updated Dec 8, 2022
• Python

Graph convolutions in Keras with TensorFlow, PyTorch or Jax.

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

• Updated Jan 8, 2025
• Jupyter Notebook

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

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

• Updated Mar 18, 2023
• Python

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

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

• Updated May 13, 2021
• Python

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

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

• Updated Sep 19, 2022
• Python

Semantic Image Manipulation using Scene Graphs (CVPR 2020)

deep-learning pytorch image-manipulation gans generative-models graph-convolution scene-graphs

• Updated May 1, 2023
• Python

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

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

• Updated May 8, 2020
• Python

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

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

• Updated Mar 18, 2023
• Python

Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.

machine-learning deep-learning neural-network keras graph-theory attention-mechanism hacktoberfest network-embedding wsdm similarity-score ged gcn synthetic-data graph-similarity-algorithms graph-similarity graph-convolution graph-attention gnn simgnn withsyntheticdata

• Updated Jan 2, 2021
• Python