activity
20192024
most citedModeling Graphs with Vertex Replacement Grammars

6 citations · 14 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DB2024

SCHENO: Measuring Schema vs. Noise in Graphs

Justus Isaiah Hibshman, Adnan Hoq, Tim Weninger

Real-world data is typically a noisy manifestation of a core pattern (schema), and the purpose of data mining algorithms is to uncover that pattern, thereby splitting (i.e. decompo…

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…

cs.SI2023

Inherent Limits on Topology-Based Link Prediction

Justus I. Hibshman, Tim Weninger

Link prediction systems (e.g. recommender systems) typically use graph topology as one of their main sources of information. However, automorphisms and related properties of graphs…

math.CO2022

Ratio of Symmetries Between any two n-Node Graphs

Justus Isaiah Hibshman

Given any two graphs on the same vertex set, and , along with the difference between the two graphs $Δ= (E_1 \setminus E_2) \cup (E_2 \setminus E_1…

math.ST2021

Higher Order Imprecise Probabilities and Statistical Testing

Justus Hibshman, Tim Weninger

We generalize standard credal set models for imprecise probabilities to include higher order credal sets -- confidences about confidences. In doing so, we specify how an agent's hi…

cs.SI2020★ 3 cited

Joint Subgraph-to-Subgraph Transitions -- Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling

Justus Hibshman, Daniel Gonzalez Cedre, Satyaki Sikdar +1

We generalize triadic closure, along with previous generalizations of triadic closure, under an intuitive umbrella generalization: the Subgraph-to-Subgraph Transition (SST). We pre…

cs.SI2019★ 5 cited

Towards Interpretable Graph Modeling with Vertex Replacement Grammars

Justus Hibshman, Satyaki Sikdar, Tim Weninger

An enormous amount of real-world data exists in the form of graphs. Oftentimes, interesting patterns that describe the complex dynamics of these graphs are captured in the form of…

cs.SI2019★ 6 cited

Modeling Graphs with Vertex Replacement Grammars

Satyaki Sikdar, Justus Hibshman, Tim Weninger

One of the principal goals of graph modeling is to capture the building blocks of network data in order to study various physical and natural phenomena. Recent work at the intersec…