:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Robertson, Sawyer Jack
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Social and Information Networks 62H30, 05C80, 05C22
Online Access:	https://arxiv.org/abs/2412.20620
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Structure and Noise in Dense and Sparse Random Graphs: Percolated Stochastic Block Model via the EM Algorithm and Belief Propagation with Non-Backtracking Spectra
by: Bolla, Marianna, et al.
Published: (2023)

KRAFTY: Khatri-Rao Framework for Joint Cluster Recovery
by: Gao, Siyi, et al.
Published: (2026)

Coalition Structure and Polarization in Parliamentary Voting Networks: Evidence from the Italian Parliament
by: Collu, Francesca, et al.
Published: (2026)

The non-backtracking random walk and its usage for vertex clustering
by: Bolla, Marianna
Published: (2025)

Consistent line clustering using geometric hypergraphs
by: Alaluusua, Kalle, et al.
Published: (2025)

On a wider class of prior distributions for graphical models
by: Natarajan, Abhinav, et al.
Published: (2022)

Semi-Supervised Community Detection via Quasi-Stationary Distributions
by: Fraiman, Nicolas, et al.
Published: (2024)

SDSR: A Spectral Divide-and-Conquer Approach for Species Tree Reconstruction
by: Reshef, Ortal, et al.
Published: (2026)

Forward--Backward Green Cosine Geometry for Directed Community Detection and Overlap Expansion
by: Do, Duy Hieu
Published: (2026)

Network Cross-Validation for Nested Models by Edge-Sampling
by: Yang, Bokai, et al.
Published: (2025)

Pair-Matching: Links Prediction with Adaptive Queries
by: Giraud, Christophe, et al.
Published: (2019)

Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation
by: Yang, Murong, et al.
Published: (2025)

Balance with Memory in Signed Networks via Mittag-Leffler Matrix Functions
by: Tian, Yu, et al.
Published: (2024)

Stochastically Evolving Graphs via Edit Semigroups
by: Chung, Fan, et al.
Published: (2025)

Clique and cycle frequencies in a sparse random graph model with overlapping communities
by: Gröhn, Tommi, et al.
Published: (2019)

Two models of sparse and clustered dynamic networks
by: Bloznelis, Mindaugas, et al.
Published: (2024)

Drilling into Erasmus learning mobility flows between countries 2014-2024
by: Batagelj, Vladimir
Published: (2025)

Information-Theoretic Thresholds for Planted Dense Cycles
by: Mao, Cheng, et al.
Published: (2024)

Random line graphs and edge-attributed network inference
by: Lubberts, Zachary, et al.
Published: (2021)

Non-parametric estimates for graphon mean-field particle systems
by: Bayraktar, Erhan, et al.
Published: (2024)

Noisy Linear Group Testing: Exact Thresholds and Efficient Algorithms
by: Hintze, Lukas, et al.
Published: (2024)

Noisy group testing via spatial coupling
by: Coja-Oghlan, Amin, et al.
Published: (2024)

Spreading and Structural Balance on Signed Networks
by: Tian, Yu, et al.
Published: (2022)

Optimal root recovery for uniform attachment trees and $d$-regular growing trees
by: Addario-Berry, Louigi, et al.
Published: (2024)

Expectation and Variance of the Degree of a Node in Random Spanning Trees
by: Sanmartín, Enrique Fita, et al.
Published: (2024)

Matrix-weighted networks for modeling multidimensional dynamics
by: Tian, Yu, et al.
Published: (2024)

Different Statistical Perspectives for Understanding Generalisation in Graph Neural Networks
by: Ayday, Nil, et al.
Published: (2026)

Multi-Method Analysis of Mathematics Placement Assessments: Classical, Machine Learning, and Clustering Approaches
by: Allagan, Julian D., et al.
Published: (2025)

Semi-supervised Community Detection using Glauber Dynamics for an Ising Model
by: Avrachenkov, Konstantin, et al.
Published: (2025)

Non-exchangeable mean-field theory for adaptive weights: propagation of dissociatedness and graphon sampling lemma
by: Zhou, Datong
Published: (2025)

Imbalanced Classification under Capacity Constraints
by: Fraiman, Daniel, et al.
Published: (2026)

Constrained graph generation: Preserving diameter and clustering coefficient simultaneously
by: Ferenczi, Dávid, et al.
Published: (2026)

BLISS: Bandit Layer Importance Sampling Strategy for Efficient Training of Graph Neural Networks
by: Alsaqa, Omar, et al.
Published: (2025)

Analysis of a Spotify Collaboration Network for Small-World Properties
by: Bush, Raquel Ana Magalhães
Published: (2025)

Characterizations of harmonic quasiregular mappings in function spaces
by: Sun, Jihua, et al.
Published: (2026)

Modularity and random graphs
by: McDiarmid, Colin, et al.
Published: (2025)

A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
by: Heidrich, Mario, et al.
Published: (2026)

A Fast Maximum Clique Algorithm Based on Network Decomposition for Large Sparse Networks
by: Fan, Tianlong, et al.
Published: (2024)

Nonparametric learning of stochastic differential equations from sparse and noisy data
by: Ganguly, Arnab, et al.
Published: (2025)

Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dots
by: Bourdais, Théo, et al.
Published: (2023)