graph-classification topic
TOGL
Topological Graph Neural Networks (ICLR 2022)
P-WL
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
ggnn.tensorflow
Tensorflow implementation of Gated Graph Neural Network for Source Code Classification
rwgnn
Random Walk Graph Neural Networks
filtration_curves
Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
phc-gnn
Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert
OrbitalFeatures
A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
resolutions-2019
A list of data mining and machine learning papers that I implemented in 2019.
graph_classification
Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels