3 papers
cs.LG2024
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…
cs.SI2023
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.
cs.LG2023
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…