ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]
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Updated
Jun 30, 2024 - Python
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
Self-Attention Graph Pooling [ICML-2019]
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation [WSDM-2019]
A repository of pretty cool datasets that I collected for network science and machine learning research.
Modeling 3D Infant Kinetics Using Adaptive Graph Convolutional Networks
This work showcases a variational graph autoencoder disentanglement using 3D mesh data.
Graph Convolution based model for de novo identification of nucleotide modifications
[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
Semantic Image Manipulation using Scene Graphs (CVPR 2020)
A Tensorflow implementation of a higher order graph convolutional neural network
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Pycsou extension module for linear inverse problems involving signals defined on non Euclidean domains represented as graphs.
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
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