Pinned Repositories
cdt-ccm-aae
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
decimation-pooling
Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).
deep-q-atari
Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.
GINR
Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
GNCA
Code for "Learning Graph Cellular Automata" (NeurIPS 2021).
keras-gat
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
spektral
Graph Neural Networks with Keras and Tensorflow 2.
SRC
Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
twitter-sentiment-cnn
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.
Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
danielegrattarola's Repositories
danielegrattarola/spektral
Graph Neural Networks with Keras and Tensorflow 2.
danielegrattarola/keras-gat
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
danielegrattarola/twitter-sentiment-cnn
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.
danielegrattarola/GINR
Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
danielegrattarola/SRC
Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
danielegrattarola/GNCA
Code for "Learning Graph Cellular Automata" (NeurIPS 2021).
danielegrattarola/deep-q-atari
Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.
danielegrattarola/decimation-pooling
Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).
danielegrattarola/cdt-ccm-aae
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
danielegrattarola/ccm-aae
Adversarial Autoencoders with Constant-Curvature Latent Manifolds (2018, https://arxiv.org/abs/1812.04314)
danielegrattarola/danielegrattarola.github.io
My blog
danielegrattarola/keras-multiplexer
A Keras layer that acts as multiplexer for Dense layers (Tensorflow backend only)
danielegrattarola/pncl
Plots in the browser with Python and Chart.js
danielegrattarola/deepRFS
Deep Feature Extraction for Sample-Efficient Reinforcement Learning
danielegrattarola/dashy
🚀 A self-hosted startpage for your server. Easy to use visual editor, status checking, widgets, themes and tons more!
danielegrattarola/novelai-colab-ver
You can use this version to experience how novelai works without a good gpu.