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PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
gcn
gnn
pytorch
spatial-data
deep-learning
temporal-data
node-embedding
spatiotemporal
graph-embedding
network-science
temporal-graphs
spatial-analysis
graph-convolution
network-embedding
temporal-networks
spatio-temporal-data
graph-neural-networks
spatio-temporal-analysis
graph-convolutional-networks
Created
2020-06-27
1,949 commits to master branch, last one 23 days ago
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Created
2019-01-29
180 commits to master branch, last one about a year ago
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Created
2019-06-17
144 commits to master branch, last one 2 years ago
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Created
2019-01-31
172 commits to master branch, last one about a year ago
A repository of pretty cool datasets that I collected for network science and machine learning research.
Created
2019-04-07
335 commits to master branch, last one 7 months ago
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Created
2019-01-18
118 commits to master branch, last one about a year ago
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Created
2019-02-23
141 commits to master branch, last one 2 years ago
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Created
2018-12-07
135 commits to master branch, last one about a year ago
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Created
2018-12-28
95 commits to master branch, last one 2 years ago
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
gcn
gnn
pytorch
deepwalk
node2vec
tensorflow
deep-learning
active-learning
graph-embedding
graph-convolution
network-embedding
node-classification
graph-classification
graph-neural-network
graph-neural-networks
active-learning-module
deep-learning-algorithms
machine-learning-algorithms
graph-convolutional-networks
graph-representation-learning
Created
2019-04-23
126 commits to master branch, last one 2 years ago
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
Created
2019-11-08
6 commits to master branch, last one 4 years ago
Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
Created
2020-07-17
3,099 commits to master branch, last one 6 months ago
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Created
2018-08-09
97 commits to master branch, last one about a year ago
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
asne
tadw
pytorch
deepwalk
node2vec
tensorflow
deep-learning
node-embedding
graph-embedding
machine-learning
graph-convolution
network-embedding
feature-extraction
node-classification
pattern-recognition
attributed-embedding
graph-neural-network
matrix-decomposition
matrix-factorization
implicit-factorization
Created
2018-12-06
45 commits to master branch, last one 2 years ago
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Created
2018-03-26
28 commits to master branch, last one 3 years ago
Semantic Image Manipulation using Scene Graphs (CVPR 2020)
Created
2020-05-28
6 commits to master branch, last one 2 years ago
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Created
2020-02-17
139 commits to master branch, last one about a year ago