Results 61 to 70 of about 2,166 (199)

A Coarse Geometric Approach to Graph Layout Problems

Journal of Graph Theory, EarlyView.
ABSTRACT We define a range of new coarse geometric invariants based on various graph–theoretic measures of complexity for finite graphs, including treewidth, pathwidth, cutwidth and bandwidth. We prove that, for bounded degree graphs, these invariants can be used to define functions which satisfy a strong monotonicity property, namely, they are ...
Wanying Huang, David Hume, Samuel J. Kelly, Ryan Lam   +3 more
wiley   +1 more source

Sustainability: The Forgotten Arena of eSports Research—A Systematic Literature Review From an ESG Perspective

Sustainable Development, EarlyView.
ABSTRACT Despite the growth of eSports, the sector faces critical challenges related to its sustainability. This research analyzes these issues from an environmental, social, and governance (ESG) perspective. This paper consists of a systematic literature review on eSports and its implications for sustainability.
M. Ertz, C. Ouerghemmi, Y. Laghrib, M. Kordi, J. Bousquet, A. Kazemipour   +5 more
wiley   +1 more source

Bridging privacy-preserving approaches: a formal comparison of k-automorphism, k-isomorphism, and k-symmetry

EURASIP Journal on Information Security
Anonymization of graph data is fundamental to preserving users’ privacy while publishing social network datasets. The strongest privacy guarantees against any structural attacks provide three well-known methods: k-automorphism, k-isomorphism and k ...
Jana Medková
doaj   +1 more source

Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang, Hongxu Chen, Xiangyu Zhao, Sixiao Zhang, Xiangguo Sun, Qian Li, Hongzhi Yin, Guandong Xu   +7 more
wiley   +1 more source

Network alignment and similarity reveal atlas-based topological differences in structural connectomes

Network Neuroscience, 2021
The interactions between different brain regions can be modeled as a graph, called connectome, whose nodes correspond to parcels from a predefined brain atlas.
Matteo Frigo, Emilio Cruciani, David Coudert, Rachid Deriche, Emanuele Natale, Samuel Deslauriers-Gauthier   +5 more
doaj   +1 more source

Urban inequalities and marginalization of the Social and Solidarity Economy: A comparative analysis in the Sants‐Montjuïc district in Barcelona

Annals of Public and Cooperative Economics, EarlyView.
Abstract This article examines how urban inequalities influence the Social and Solidarity Economy (SSE) through a study of two Barcelona neighbourhoods. It evaluates the limitations of SSE promotion policies implemented between 2016 and 2024, focusing on their impact on diversifying socio‐enterprise initiatives and fostering cooperative ecosystems with
Santiago Eizaguirre Anglada, Javier Vergel Faro, Jordi Bonet Martí   +2 more
wiley   +1 more source

Interaction graphs of isomorphic automata networks II: Universal dynamics

Journal of Computer and System Sciences
28 ...
Florian Bridoux, Aymeric Picard Marchetto, Adrien Richard   +2 more
openaire   +2 more sources

DeepTGIN: a novel hybrid multimodal approach using transformers and graph isomorphism networks for protein-ligand binding affinity prediction

Journal of Cheminformatics
Predicting protein-ligand binding affinity is essential for understanding protein-ligand interactions and advancing drug discovery. Recent research has demonstrated the advantages of sequence-based models and graph-based models. In this study, we present
Guishen Wang, Hangchen Zhang, Mengting Shao, Yuncong Feng, Chen Cao, Xiaowen Hu   +5 more
doaj   +1 more source

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

Tax Incentives for Small and Medium–Sized Enterprises: A Systematic Literature Review

Journal of Economic Surveys, EarlyView.
ABSTRACT This paper presents a PRISMA‐guided systematic literature review of 91 studies analyzing tax incentives for small and medium‐sized enterprises (SMEs) and their stakeholders. Adopting an SME‐specific, instrument‐agnostic perspective, spanning both firm‐side and investor‐side incentives across multiple tax instruments, we identify three patterns.
Adam Lynch, Ciarán Mac an Bhaird, Seán O'Reilly   +2 more
wiley   +1 more source