9 citations · 33 across the 67 of their papers we have counts for
4 papers · 1 filter
An Efficient and Continuous Voronoi Density Estimator
Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava +2
We introduce a non-parametric density estimator deemed Radial Voronoi Density Estimator (RVDE). RVDE is grounded in the geometry of Voronoi tessellations and as such benefits from…
EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics
Alberta Longhini, Marco Moletta, Alfredo Reichlin +4
We study the problem of learning graph dynamics of deformable objects that generalizes to unknown physical properties. Our key insight is to leverage a latent representation of ela…
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs
Ciwan Ceylan, Kambiz Ghoorchian, Danica Kragic
Structural node embeddings, vectors capturing local connectivity information for each node in a graph, have many applications in data mining and machine learning, e.g., network ali…
GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs
Ciwan Ceylan, Petra Poklukar, Hanna Hultin +3
We argue that when comparing two graphs, the distribution of node structural features is more informative than global graph statistics which are often used in practice, especially…