Enumeration of Maps via Integrability
Explore map enumeration techniques, from Tutte's work to KP hierarchy, deriving recurrence formulas for oriented and non-oriented maps using integrability methods in mathematics and physics.
The Simplest Proof of Cayley's Formula and Its Connection to Statistical Mechanics
Explore Cayley's Formula's simplest proof and its statistical mechanics connection in this insightful lecture by Alexei Rebenko from the National Academy of Sciences, Kiev.
Graphs in the Modern World: Analyzing Infectious Disease Dynamics
Explore graph-based models for analyzing infectious diseases, from deterministic compartmental models to agent-based simulations in modern epidemiology.
Beyond the Basics of Graphs and Networks
Explore advanced concepts in graph theory and network analysis, delving into complex structures and algorithms for deeper insights into interconnected systems.
Mathematical Games - Ordering and Canonical Forms - Episode 21
Explore mathematical games and puzzles involving ordering and canonical forms with Ed Pegg Jr. in this engaging presentation on mathematical concepts and problem-solving techniques.
Graph Your Game: Strategic Playbooks Unveiled - Mapping Lacrosse Tactics
Explore strategic playbooks in lacrosse using graph theory and Golang. Learn to visualize player and team dynamics, implement knowledge graphs, and leverage CypherQL for data analysis.
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Explore score-based generative modeling for graphs using stochastic differential equations. Learn about graph diffusion, forward and reverse processes, and applications in molecule generation.
Progress in Graphs and Networks
Explore advancements in graph theory and network analysis, uncovering applications in various fields and enhancing problem-solving skills.
Topological Perspectives on Networks
Explore algebraic topology tools for network analysis, focusing on their application in neuroscience to understand structure-function relationships.
Random Embeddings of Graphs in Surfaces - Lecture
Explore random 2-cell embeddings of graphs in surfaces, from basic concepts to recent developments in Random Topological Graph Theory.
Topological Perspectives on Networks
Explore algebraic topology tools for network analysis, focusing on their application in neuroscience to understand structure-function relationships.
Expanders in Higher Dimensions: From Local to Global Properties and Applications
Explore high-dimensional expanders, their local-to-global properties, and applications in coding theory, networking, and computational complexity.
High-Quality Graph Visualization - Styling, Layout, and Strategies
Explore graph visualization techniques, styling, layout adjustments, and strategies with Jaebum Jung in this livestream overview from Wolfram's R&D team.
The Central Object in Mathematics: Lattices and Their Connections
Explore the fundamental "lattice" structure in mathematics, its connections to various topics, and its significance in pure mathematics research.
The Mathematics of the Football
Explore the fascinating intersection of mathematics and football, uncovering geometric principles and physical laws that shape the beautiful game.
NetworkX is Fast Now - Graph Analytics Unleashed
Discover NetworkX's power for graph analytics, from beginner-friendly API to accelerated backends. Learn to extract insights from data using advanced tools for scalable graph analysis.
Graphs and Vogue Dance: Using Data Structures to Create Choreographies
Explore how graph data structures can be used to create and visualize Vogue Dance choreographies, combining computer science concepts with artistic expression and LGBTQIA+ culture.
Szemerédi Regularity Lemma in Graph Machine Learning
Exploring the Szemerédi regularity lemma's application in graph machine learning, focusing on its theoretical foundations and practical implications for AI-driven graph analysis.
Graphs of Random Matrices in Deep Learning
Explore the intersection of random matrix theory and deep learning, focusing on graph structures and their implications for neural network performance and analysis.
Learning Coarse-Grained Dynamics on Graphs
Explore coarse-grained dynamics on graphs with John Harlim, delving into advanced machine learning techniques for dynamical systems analysis and modeling.
Graph Limit for Interacting Particle Systems on Weighted Deterministic and Random Graphs
Explore graph limits for interacting particle systems on weighted deterministic and random structures in this advanced mathematical lecture.