Cellular automata (CAs) are computational models exhibiting rich dynamic...
We consider the problem of learning implicit neural representations (INR...
Recently, supervised network embedding (NE) has emerged as a predominant...
Cellular automata (CA) are a class of computational models that exhibit ...
Inspired by the conventional pooling layers in convolutional neural netw...
In this paper we present Spektral, an open-source Python library for bui...
In graph neural networks (GNNs), pooling operators compute local summari...
The advance of node pooling operations in a Graph Neural Network (GNN) h...
This paper proposes an autoregressive (AR) model for sequences of graphs...
Recent graph neural networks implement convolutional layers based on
pol...
Recent graph neural networks implement convolutional layers based on
pol...
Constant-curvature Riemannian manifolds (CCMs) have been shown to be ide...
The space of graphs is characterized by a non-trivial geometry, which of...