Map coloring, using four colors
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Updated
Dec 15, 2023 - Python
Map coloring, using four colors
Implementation of Planar Graph Convolutional Networks in TensorFlow
Several different implementations of the A-Star search algorithm, including a Bidirectional version - used for finding the shortest path in a graph.
Given a planar, undirected, graph enumerate all of the faces of the graph. Can also be described as finding all of the polygons within the graph, or the minimum cycle basis, based on Geometric Tools C++ Library
A simple and small .NET library for computational planar geometry.
This repository contains an ulta-fast Python implementation of the Triangulated Maximally filtered Graph (TMFG).
Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs"
Laboratory problems and solutions for the ITMO course "Discrete Mathematics".
A little helper to complete homework #4 "Graph planarization" in discrete mathematics at ITMO University in the second semester.
Algorithms and data structures for PTAS (Polynomial Time Approximation Scheme) on planar graphs
A set of tools to perform calculations with trivalent diagrams in Mathematica
Exact four-terminal planar lower bound and verifiers for cost-preserving unsplittable-flow rounding.
🎓 Обучающая программная система по теории планарных графов.
Five-coloring planar graphs http://harrisonrbrown.com/slick-mongoose
Different implementations of the Dijkstra Shortest Paths algorithm, including a Bidirectional version.
Discrete Mathematics course at ITMO University
Code Base for NeurIPS paper: "Constrained Goal-directed Planar Graph Generation with Grammar-based Reinforcement Learning"
一个基于Leaflet Simple CRS的平面地图标点系统,支持点/多边形/导航路径规划 A planar map point system based on Leaflet Simple CRS, supporting point/polygon/navigation path planning
Preparatory work for Master Thesis 2017-2018 (Characterization and Complexity of Thin Strip Graphs)
Inoffizielles Skript für die Vorlesung „Algorithmen für planare Graphen“ von Prof. Dr. Dorothea Wagner
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