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- research-articleOctober 2024
- research-articleJuly 2024
Exploiting recurrent graph neural networks for suffix prediction in predictive monitoring
AbstractPredictive monitoring is a subfield of process mining that aims to predict how a running case will unfold in the future. One of its main challenges is forecasting the sequence of activities that will occur from a given point in time —suffix ...
- research-articleApril 2024
A Fast Monte Carlo Algorithm for Evaluating Matrix Functions with Application in Complex Networks
Journal of Scientific Computing (JSCI), Volume 99, Issue 2https://doi.org/10.1007/s10915-024-02500-wAbstractWe propose a novel stochastic algorithm that randomly samples entire rows and columns of the matrix as a way to approximate an arbitrary matrix function using the power series expansion. This contrasts with existing Monte Carlo methods, which only ...
- research-articleMarch 2024
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- research-articleFebruary 2024
Multi-Linear Pseudo-PageRank for Hypergraph Partitioning
Journal of Scientific Computing (JSCI), Volume 99, Issue 1https://doi.org/10.1007/s10915-024-02460-1AbstractMotivated by the PageRank model for graph partitioning, we develop an extension of PageRank for partitioning uniform hypergraphs. Starting from adjacency tensors of uniform hypergraphs, we establish the multi-linear pseudo-PageRank (MLPPR) model, ...
- rapid-communicationFebruary 2024
( n , m )-graphs with maximum exponential second Zagreb index
Discrete Applied Mathematics (DAMA), Volume 343, Issue CPages 350–354https://doi.org/10.1016/j.dam.2023.11.009AbstractFor a graph G = ( V , E ), the exponential second Zagreb index is defined as e M 2 ( G ) = ∑ u v ∈ E e d ( u ) d ( v ), where d ( v ) is the degree of vertex v ∈ V. Recently, Eliasi (2022) posed a conjecture about ( n , m )-graphs with maximum e ...
- research-articleJanuary 2024
Computation of resistance distance and Kirchhoff index of chain of triangular bipyramid hexahedron
Applied Mathematics and Computation (APMC), Volume 461, Issue Chttps://doi.org/10.1016/j.amc.2023.128313AbstractThe two point effective resistance in some electrical networks has been extensively studied by many mathematicians and physicists. The computation of the effective resistance among two points in a network is a well-known problem in ...
- research-articleNovember 2023
An effective representation learning model for link prediction in heterogeneous information networks
AbstractHeterogeneous Information Networks (HINs) consist of multiple categories of nodes and edges and encompass rich semantic information. Representing HINs in a low-dimensional feature space is challenging due to its complex structure and rich ...
- research-articleNovember 2023
Link prediction in food heterogeneous graphs for personalised recipe recommendation based on user interactions and dietary restrictions
AbstractRecipe data and user interactions and preferences have been widely studied in food computing, especially for the recipe recommendation task. One part of these works seeks to introduce healthy patterns while considering user preferences, known as ...
- research-articleSeptember 2023
PERMDEC: community deception in weighted networks using permanence
AbstractCommunity detection is used to determine the network structure and node relationships. However, it raises privacy concerns when locating and disclosing the members’ personal or community information. Community deception is a method of hiding a ...
- research-articleSeptember 2023
Wheels: A new criterion for non-convexity of neural codes
Advances in Applied Mathematics (AAMA), Volume 150, Issue Chttps://doi.org/10.1016/j.aam.2023.102567AbstractWe introduce new geometric and combinatorial criteria that preclude a neural code from being convex, and use them to tackle the classification problem for codes on six neurons. Along the way, we give the first example of a code that is ...
- research-articleAugust 2023
- research-articleAugust 2023
A new complexity metric for nonconvex rank-one generalized matrix completion
Mathematical Programming: Series A and B (MPRG), Volume 207, Issue 1-2Pages 227–268https://doi.org/10.1007/s10107-023-02008-5AbstractIn this work, we develop a new complexity metric for an important class of low-rank matrix optimization problems in both symmetric and asymmetric cases, where the metric aims to quantify the complexity of the nonconvex optimization landscape of ...
- research-articleMay 2023
A program to create new geometry proof problems
Annals of Mathematics and Artificial Intelligence (KLU-AMAI), Volume 91, Issue 6Pages 779–795https://doi.org/10.1007/s10472-023-09854-1AbstractIn a previous paper Todd (Submitted to AMAI, 2022), linear systems corresponding to sets of angle bisector conditions are analyzed. In a system which is not full rank, one bisector condition can be derived from the others. In that paper, we ...
- research-articleMarch 2023
Plane graphs of diameter two are 2-optimal
Applied Mathematics and Computation (APMC), Volume 441, Issue Chttps://doi.org/10.1016/j.amc.2022.127717Highlights- A new class of graphs which is k-optimal is presented.
- For planar graphs of ...
Let G be a connected graph with n vertices. Suppose a fire breaks out at some vertex of G. At each time interval, firefighters can protect up to k vertices, and then the fire spreads to all unprotected neighbors. Let dnk ( v ) denote ...
- research-articleFebruary 2023
The maximum Mostar indices of unicyclic graphs with given diameter
Applied Mathematics and Computation (APMC), Volume 439, Issue Chttps://doi.org/10.1016/j.amc.2022.127636Highlights- The greatest Mostar index among the graphs with order n and diameter d is determined.
For an edge e = u v in a given graph G, let n G u ( e ) be the number of vertices which have a less distance from u than that from v. Then | n G u ( e ) − n G v ( e ) | is called the contribution of e. The Mostar index is defined as ...
- research-articleNovember 2023
Getting the Lay of the Land in Discrete Space: A Survey of Metric Dimension and Its Applications
The metric dimension of a graph is the smallest number of nodes required to identify all other nodes uniquely based on shortest path distances. Applications of metric dimension include discovering the source of a spread in a network, canonically labeling ...
- research-articleJanuary 2023
RETRACTED ARTICLE: The Sachs theorem and its application on extended adjacency matrix of graphs
Journal of Combinatorial Optimization (SPJCO), Volume 45, Issue 1https://doi.org/10.1007/s10878-022-00938-yAbstractBased on the extended adjacency matrix, the spectral radius and the energy of the extended adjacency matrix are found that they possess high discriminating power and correlate well with a number of physicochemical properties and biological ...
- research-articleNovember 2022