:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Barton, Samuel, Coster, Adelle, Donovan, Diane, Lefevre, James
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Combinatorics
Online Access:	https://arxiv.org/abs/2405.15063
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An application of node and edge nonlinear hypergraph centrality to a protein complex hypernetwork
by: Lawson, Sarah, et al.
Published: (2024)

Latin hypercubes realizing integer partitions
by: Donovan, Diane, et al.
Published: (2023)

Further constructions of square integer relative Heffter arrays
by: Donovan, Diane, et al.
Published: (2025)

STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model
by: Li, Lincan, et al.
Published: (2024)

Sparse random hypergraphs: Non-backtracking spectra and community detection
by: Stephan, Ludovic, et al.
Published: (2022)

Achieving the Kesten-Stigum bound in the non-uniform hypergraph stochastic block model
by: Fernandez V, Manuel, et al.
Published: (2026)

Towards a General Framework for Predicting and Explaining the Hardness of Graph-based Combinatorial Optimization Problems using Machine Learning and Association Rule Mining
by: Sharman, Bharat, et al.
Published: (2025)

A classification of overlapping clustering schemes for hypergraphs
by: Agdur, Vilhelm
Published: (2024)

Estimating the stability number of a random graph using convolutional neural networks
by: Davila, Randy
Published: (2024)

Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape
by: Karhadkar, Kedar, et al.
Published: (2023)

Heating Up Quasi-Monte Carlo Graph Random Features: A Diffusion Kernel Perspective
by: Feinberg, Brooke, et al.
Published: (2024)

A Multi-Level Framework for Multi-Objective Hypergraph Partitioning: Combining Minimum Spanning Tree and Proximal Gradient
by: Li, Yingying, et al.
Published: (2025)

Theoretical Insights into Line Graph Transformation on Graph Learning
by: Yang, Fan, et al.
Published: (2024)

Scalable Structure Learning for Sparse Context-Specific Systems
by: Rios, Felix Leopoldo, et al.
Published: (2024)

Complex non-backtracking matrix for directed graphs
by: Sando, Keishi, et al.
Published: (2025)

Generating Hadamard matrices with transformers
by: Williamson, Geordie, et al.
Published: (2026)

Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization
by: Rostami, Mohammadreza, et al.
Published: (2026)

Invariant-Based Diagnostics for Graph Benchmarks
by: von Moos, Richard, et al.
Published: (2026)

An Optimal Sauer Lemma Over $k$-ary Alphabets
by: Hanneke, Steve, et al.
Published: (2026)

CSGO: Constrained-Softassign Gradient Optimization For Large Graph Matching
by: Shen, Binrui, et al.
Published: (2022)

Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them
by: Hordan, Snir, et al.
Published: (2026)

Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
by: Mundinger, Konrad, et al.
Published: (2025)

Reinforcement learning for graph theory, Parallelizing Wagner's approach
by: Bouffard, Alix, et al.
Published: (2025)

Neural Algorithmic Reasoning for Approximate $k$-Coloring with Recursive Warm Starts
by: Vanderbush, Knut, et al.
Published: (2026)

Optimal Mistake Bounds for Transductive Online Learning
by: Chase, Zachary, et al.
Published: (2025)

A Note on Asynchronous Challenges: Unveiling Formulaic Bias and Data Loss in the Hayashi-Yoshida Estimator
by: Georgiadis, Evangelos
Published: (2024)

Is Dimensionality a Barrier for Retrieval Models?
by: Bangachev, Kiril, et al.
Published: (2026)

Weighted Random Dot Product Graphs
by: Marenco, Bernardo, et al.
Published: (2025)

Spectral Structure in Finite Free Information Inequalities and $p$-Stam Phase Transitions
by: Hashemi, Baran
Published: (2026)

Holographic functions and neural networks
by: Szegedy, Balazs
Published: (2026)

Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets
by: da Cunha, Arthur, et al.
Published: (2023)

A Link between Coding Theory and Cross-Validation with Applications
by: Pahikkala, Tapio, et al.
Published: (2021)

A classification of Mengerian $4$-uniform hypergraphs derived from graphs
by: Hochstättler, Winfried, et al.
Published: (2023)

A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks
by: Pearce-Crump, Edward, et al.
Published: (2024)

Scalable tensor methods for nonuniform hypergraphs
by: Aksoy, Sinan G., et al.
Published: (2023)

On the minimum number of entries in a pair of maximal orthogonal partial Latin squares
by: Donovan, Diane M., et al.
Published: (2026)

On a Combinatorial Problem Arising in Machine Teaching
by: Håvardstun, Brigt, et al.
Published: (2024)

On resilient hypergraphs
by: Frankl, Peter, et al.
Published: (2025)

On cliques in hypergraphs
by: Gao, Jun
Published: (2025)

On a hypergraph Mantel theorem
by: Liu, Xizhi
Published: (2025)