The Wayback Machine - https://web.archive.org/web/20210815184639/https://github.com/topics/graph-convolution
Here are
33 public repositories
matching this topic...
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Updated
Aug 1, 2021
Python
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Updated
Aug 10, 2021
Python
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Updated
Aug 1, 2021
Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Updated
Aug 1, 2021
Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Updated
Aug 1, 2021
Python
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Updated
Jun 18, 2021
Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Updated
Jun 24, 2021
Python
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Updated
Aug 1, 2021
Python
A reading paper list which is mainted daily
Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"
Updated
Oct 1, 2020
Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Updated
Jul 27, 2021
Python
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
Updated
Aug 9, 2021
Python
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Updated
Aug 1, 2021
Python
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
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Aug 1, 2021
Python
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
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May 13, 2021
Python
Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
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May 8, 2020
Python
Semantic Image Manipulation using Scene Graphs (CVPR 2020)
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Jun 30, 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".
Updated
Aug 1, 2021
Python
Updated
Feb 22, 2021
Jupyter Notebook
Graph convolution with tf.keras
Updated
Aug 14, 2021
Python
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
Updated
Jan 2, 2021
Python
Path conditioned Graph Convolutional Network
Updated
May 24, 2019
Python
Leverage on recent advances in graph convolution and sequence modeling to design neural networks for spatio-temporal forecasting, which including the use of graph convolutional neural networks, gated recurrent units and transformers.
Updated
Oct 6, 2020
Python
[IJCNN 2021] Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network
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May 25, 2021
Python
Using the adjacency matrix and random forest get the Name, Address, Items, Prices, Grand total from all kind of invoices.
Updated
Mar 8, 2020
Python
A Tensorflow implementation of a higher order graph convolutional neural network
Updated
Feb 17, 2021
Python
Awesome GNN Learning For beginners
Graph convolution-based visual storytelling
Updated
Feb 28, 2021
Jupyter Notebook
Source code of the final course paper "Enhancing Word Embeddings with Graph-Based Text Representations"
Updated
Jun 14, 2021
Jupyter Notebook
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