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01/25/2023
E(n)-equivariant Graph Neural Cellular Automata
Cellular automata (CAs) are computational models exhibiting rich dynamic...
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05/31/2022
Generalised Implicit Neural Representations
We consider the problem of learning implicit neural representations (INR...
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03/21/2022
Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination
Recently, supervised network embedding (NE) has emerged as a predominant...
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10/27/2021
Learning Graph Cellular Automata
Cellular automata (CA) are a class of computational models that exhibit ...
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10/11/2021
Understanding Pooling in Graph Neural Networks
Inspired by the conventional pooling layers in convolutional neural netw...
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06/22/2020
Graph Neural Networks in TensorFlow and Keras with Spektral
In this paper we present Spektral, an open-source Python library for bui...
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10/24/2019
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
In graph neural networks (GNNs), pooling operators compute local summari...
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06/30/2019
Mincut pooling in Graph Neural Networks
The advance of node pooling operations in a Graph Neural Network (GNN) h...
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03/18/2019
Autoregressive Models for Sequences of Graphs
This paper proposes an autoregressive (AR) model for sequences of graphs...
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01/05/2019
Graph Neural Networks with convolutional ARMA filters
Recent graph neural networks implement convolutional layers based on pol...
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01/05/2019
Graph Neural Networks with distributed ARMA filters
Recent graph neural networks implement convolutional layers based on pol...
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12/11/2018
Adversarial Autoencoders with Constant-Curvature Latent Manifolds
Constant-curvature Riemannian manifolds (CCMs) have been shown to be ide...
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05/16/2018
