
Explore recent findings on hypergraph bipartite Turan problems, including solutions to challenges posed by prominent researchers in the field.

Explore density Corrádi-Hajnal theorem for degenerate hypergraphs, examining extremal constructions across intervals and characterizing them for graphs and specific nondegenerate hypergraphs.

Explore random walks on dynamical percolation, examining critical and supercritical regimes in infinite regular trees and lattices. Analyze speed bounds and mean squared displacement.

Explore equiangular lines in high dimensions, solving a longstanding problem using spectral graph theory and discussing future research directions.

Explore graph limits theory, homomorphism density inequalities, and their applications in extremal combinatorics. Gain insights into undecidability and randomness in graph theory.

Explore properties of the unit distance graph of the plane, including the Hadwiger-Nelson problem, Erdos' conjecture, and fractional chromatic number.

Explore bounded pathwidth in control-flow graphs, its advantages over treewidth, and its applications in static analysis and compiler optimization. Gain insights into more efficient algorithms for program analysis.

Explore graph representation learning, from shallow to deep embedding, for heterogeneous data. Discover algorithms for temporal and dynamic graphs, and few-shot learning techniques for minimally supervised scenarios.

Explore higher-order dynamic graph representation learning with efficient Transformers for improved link prediction in rapidly changing graphs. Learn about HOT model's architecture and performance.

Introducing a general framework for modeling flow problems over hyper graphs, with applications in network optimization, power flow, and wireless networks. Includes fast, parallelizable algorithm implementation in Julia.

Explore cutting-edge research on foundation models for graph data structures, examining their potential applications and implications for AI and machine learning.

Explore attractor decompositions in graphs, their role in parity games, and applications to automata theory. Learn about structural complexity measures and strategy analysis.

Explore global synchronization in Kuramoto oscillator networks, examining critical connectivity thresholds and unsolved puzzles in network behavior.

Explore unexpected applications of connection mathematics, from modeling flu epidemics to galaxy formation, through an intriguing party guest problem.

Explore discrete random models in this advanced mathematics workshop. Gain insights into probabilistic techniques for analyzing complex network structures and random processes.

Explore tournaments on root systems in discrete probability and statistics. Engage in collaborative research, minicourses, and open problem sessions at IMPA's month-long extended program for mathematicians.

Explore discrete probability and statistics in a month-long program featuring talks, minicourses, and collaborative sessions. Engage with researchers and delve into topics like random 2-SAT solutions.

Explore random discrete models in this advanced mathematics lecture. Delve into probability theory and network analysis with expert insights from PUC-Chile researcher Dieter Mitsche.

Explore K-rings of wonderful varieties and matroids with Shiyue Li, delving into advanced mathematical concepts and their applications in algebraic geometry.

חקור את התפשטות מוצרים חדשניים ברשתות עם פרופ' גדי פיביך. גלה תובנות על דינמיקת השוק והתנהגות צרכנים בעידן הדיגיטלי.

Explore iterative construction of discrete Laplacians on 2D square and hexagonal lattices using BTBB and other sequences. Compare methods and discover the exceptional nature of the BTBB sequence.