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  1. Graph Neural Networks with Keras and Tensorflow.

    Python 547 65

  2. Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

    Python 210 60

  3. An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.

    Python 133 50

  4. Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.

    Python 24 7

  5. Adversarial Autoencoders with Constant-Curvature Latent Manifolds (2018, https://arxiv.org/abs/1812.04314)

    Python 3 4

  6. Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)

    Python 3 1

758 contributions in the last year

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Mon Wed Fri

Contribution activity

January 2020

Created a pull request in rusty1s/pytorch_geometric that received 6 comments

Add MinCUT pooling (Bianchi et al., 2019, arxiv.org/abs/1907.00481)

This PR adds the MinCUT pooling layer from Mincut pooling in Graph Neural Networks F. M. Bianchi, D. Grattarola, C. Alippi https://arxiv.org/abs/19…

+332 −22 6 comments

Created an issue in makism/dyconnmap that received 1 comment

Does the name change imply eventual changes in functionality?

Hi, I notice that you changed the project name and I was wondering if it means that significant changes are on the horizon... I have a project that…

1 comment
23 contributions in private repositories Jan 13 – Jan 25

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