Constraint-Based Sub-Graph Partitioning for Multi-Cellular Biological Networks Abstract: Synthetic consortia represent an emerging research area in synthetic biology, promising to solve various ...

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

Initially, this study introduces a spatial partitioning method based on Voronoi diagrams, grounded on the geographic spatial distribution characteristics of traffic crashes. It constructs a novel ...

We use a graph-based model due to its flexibility in handling dynamic changes in both nodes and edges. Specifically, we divide the target building space into a set of basic topological units according ...

The partitioning method introduced here is based on METIS (Karypis and Kumar, 1999), although in principle it can work with any balanced graph partitioning algorithm. METIS is a multi-level graph ...

And, spatialpandas does calculate the spatial partitioning information, so for an equivalent benchmark, I converted the polygon geopandas.GeoDataFrame into a dask_geopandas version (with 1 partition) ...

Ji, Y. and Geroliminis, N. (2012) On the Spatial Partitioning of Urban Transportation Networks. Transportation Research Part B Methodological, 46, 1639-1656. Login ...

Spectral graph partitioning according to ref. 40 aims to approximately solve the normalized cut problem. Given an undirected graph G with weights w i j between nodes i and j , spectral graph ...