A Journey Through Graphs for Spatiotemporal Analysis
Embark on a comprehensive exploration of graph-based techniques for spatiotemporal analysis in this illuminating webinar from the IEEE Signal Processing Society's DEGAS series. Delve into the fascinating world of graph theory and its applications in anal…
Isoperimetric and Poincaré Inequalities on the Hamming Cube
Explore isoperimetric inequalities on the Hamming cube near and at the critical exponent 1/2, as well as closely related L1 Poincaré inequalities in this one-hour lecture. Delve into joint research conducted with P. Durcik and P. Ivanisvili, focusing on…
EditKG: Editing Knowledge Graph for Recommendation - Lecture 1
Explore innovative techniques for editing knowledge graphs to enhance recommendation systems, focusing on improving accuracy and relevance.
Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graphs
Explore transformer-based reasoning for learning evolutionary event chains on temporal knowledge graphs, enhancing understanding of complex temporal relationships.
Branching Processes for Cascades on Networks
Explore branching processes and their application to network cascades, gaining insights into complex system dynamics and interdisciplinary physics concepts.
TulipaEnergyModel.jl: An Efficient and Flexible Energy Model
Explore an efficient, flexible optimization model for electricity markets and energy sector coupling, featuring graph theory for adaptable representation and customizable time resolutions.
Machine Learning on Dynamic Graphs - Temporal Graph Networks
Explore Temporal Graph Networks for dynamic graph analysis, unlocking insights in evolving systems like social networks and financial transactions.
A Very Special Knight's Tour
Explore a unique knight's tour on a chessboard, uncovering mathematical patterns and strategies for this classic problem in combinatorial game theory.
Random Graphs and Nonlinear Spectral Gaps
Explore discrete Poincaré inequalities in regular expander graphs, long-range expansion properties, and their implications for Banach space-valued functions, with improved estimates for Poincaré constants.
Analytic Insights into the Zig-Zag Product and Its Friends - Part I
Explore advanced graph theory with Gil Cohen, delving into the Zig-Zag product and related graph operators using innovative analytic techniques for more precise bounds and insights.
Temporal Network Embedding Using Classical Multidimensional Scaling
Explore temporal network embedding techniques using classical multidimensional scaling for advanced data analysis and visualization.
Decoupling Identities and Oriented Matroids and Beyond
Explore advanced mathematical concepts in decoupling identities and oriented matroids, delving into their applications and extensions in physics and beyond.
The Ramsey Numbers - New Results and New Perspectives
Explore fundamental Ramsey numbers in combinatorics, recent advancements, and connections to high-dimensional random variable geometry with Julian Sahasrabudhe.
Analytic Insights into the Zig-Zag Product and Its Friends - Part II
Explore advanced analysis of graph operators using full spectrum and analytic techniques. Gain insights into Zig-Zag product, derandomized squaring, and their optimal bounds through finite free probability and analytic combinatorics.
Graph Signal Diffusion Model for Collaborative Filtering - Tutorial 2.2
Explore graph signal diffusion models for collaborative filtering in recommendation systems, enhancing predictive accuracy and user experience.
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
Explore collaborative filtering using diffusion models, unveiling high-order connectivity potential in recommendation systems for enhanced user experiences.
Lightweight Embeddings for Graph Collaborative Filtering - SIGIR 2024
Explore lightweight embeddings for graph collaborative filtering in recommender systems, enhancing efficiency and performance in user-item interactions.
Content-based Graph Reconstruction for Cold-start Item Recommendation - SIGIR 2024
Explore innovative graph reconstruction techniques for cold-start item recommendations, enhancing content-based approaches in recommender systems.
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
Explore adaptive feature de-correlation in graph collaborative filtering for enhanced recommendation systems. Learn innovative techniques to improve accuracy and relevance.
SIGformer: Sign-aware Graph Transformer for Recommendation
Explore sign-aware graph transformers for recommendation systems, enhancing accuracy through innovative graph-based techniques and transformer architectures.
DHMAE: A Disentangled Hypergraph Masked Autoencoder for Group Recommendation - Lecture 4
Explore a novel approach to group recommendation using disentangled hypergraph masked autoencoders, enhancing accuracy and efficiency in collaborative filtering systems.