A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
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Updated
Mar 18, 2023 - Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Graph Signal Processing in Python
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
MXNet implementation of Graph Convolutional Neural Networks
Graph-based framework for text classification
Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".
NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.
A pipeline processor to extract data from Gitlab and transform into a graph representation
A tool for creating a graph representation out of the content of PDFs or images.
[IROS22 Oral] Optimization of Forcemyography Sensor Placement for Arm Movement Recognition https://arxiv.org/abs/2207.10915
Graph Embedding for Interpretable Time Series Clustering
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