This paper introduces a new learning-based approach for approximately so...
Recently, the use of sound measures and metrics in Artificial Intelligen...
This document reports the use of Graph Attention Networks for classifyin...
In this paper we propose the use of continuous residual modules for grap...
The application of deep learning to symbolic domains remains an active
r...
Graph Neural Networks (GNN) are a promising technique for bridging
diffe...
Graph Neural Networks (GNN) are a promising technique for bridging
diffe...
Recently there has been a growing concern about machine bias, where trai...