3 citations · 3 across the 4 of their papers we have counts for
4 papers
This Probably Looks Exactly Like That: An Invertible Prototypical Network
Zachariah Carmichael, Timothy Redgrave, Daniel Gonzalez Cedre +1
We combine concept-based neural networks with generative, flow-based classifiers into a novel, intrinsically explainable, exactly invertible approach to supervised learning. Protot…
Temporal Egonet Subgraph Transitions
Daniel Gonzalez Cedre, Sophia Abraham, Lucas Parzianello +1
How do we summarize dynamic behavioral interactions? We introduce a possible node-embedding-based solution to this question: temporal egonet subgraph transitions.
Dynamic Vertex Replacement Grammars
Daniel Gonzalez Cedre, Justus Isaiah Hibshman, Timothy La Fond +2
Context-free graph grammars have shown a remarkable ability to model structures in real-world relational data. However, graph grammars lack the ability to capture time-changing phe…
The Infinity Mirror Test for Graph Models
Satyaki Sikdar, Daniel Gonzalez Cedre, Trenton W. Ford +1
Graph models, like other machine learning models, have implicit and explicit biases built-in, which often impact performance in nontrivial ways. The model's faithfulness is often m…