9 citations · 9 across the 3 of their papers we have counts for
3 papers
Logical Expressivity and Explanations for Monotonic GNNs with Scoring Functions
Matthew Morris, David J. Tena Cucala, Bernardo Cuenca Grau
Graph neural networks (GNNs) are often used for the task of link prediction: predicting missing binary facts in knowledge graphs (KGs). To address the lack of explainability of GNN…
Relational Graph Convolutional Networks Do Not Learn Sound Rules
Matthew Morris, David J. Tena Cucala, Bernardo Cuenca Grau +1
Graph neural networks (GNNs) are frequently used to predict missing facts in knowledge graphs (KGs). Motivated by the lack of explainability for the outputs of these models, recent…
Beta-VAE Reproducibility: Challenges and Extensions
Miroslav Fil, Munib Mesinovic, Matthew Morris +1
-VAE is a follow-up technique to variational autoencoders that proposes special weighting of the KL divergence term in the VAE loss to obtain disentangled representations. Unsup…