Here are
24 public repositories
matching this topic...
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Updated
May 31, 2020
Python
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Updated
May 31, 2020
Python
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Updated
May 31, 2020
Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Updated
May 31, 2020
Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Updated
May 31, 2020
Python
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Updated
May 31, 2020
Python
A reading paper list which is mainted daily
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Updated
May 31, 2020
Python
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Updated
May 31, 2020
Python
A Temporal Extension Library for PyTorch Geometric
Updated
Aug 27, 2020
Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"
Updated
Apr 16, 2020
Python
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Updated
May 31, 2020
Python
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Updated
May 31, 2020
Python
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
Updated
Mar 31, 2020
Python
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Updated
Sep 6, 2018
Python
Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
Updated
May 8, 2020
Python
VideoGraph: Recognizing Minutes-Long Human Activities in Videos, ICCV 2019 Workshop
Updated
Jan 27, 2020
Python
Semantic Image Manipulation using Scene Graphs (CVPR 2020)
Updated
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 23, 2020
Python
Updated
Nov 16, 2019
Jupyter Notebook
Path conditioned Graph Convolutional Network
Updated
May 24, 2019
Python
A Tensorflow implementation of a higher order graph convolutional neural network
Updated
Apr 4, 2019
Python
Awesome GNN Learning For beginners
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