Results 71 to 80 of about 4,929,609 (209)
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
A Framework for Impression Management in Extra‐Financial Reporting
ABSTRACT This paper examines how organisations employ impression management tactics in extra‐financial reporting, particularly in the context of environmental, social and governance (ESG) concerns. As stakeholder scrutiny and regulatory expectations intensify, organisations increasingly shape non‐financial disclosures to influence perceptions of ...
Laura Ribeiro +3 more
wiley +1 more source
Interaction graphs of isomorphic automata networks II: Universal dynamics
28 ...
Bridoux, Florian +2 more
openaire +4 more sources
Graph isomorphism, general remarks [PDF]
An open question is the computational complexity of recognizing when two graphs are isomorphic. In an attempt to answer this question we shall analyze the relative computational complexity of generalizations and restrictions of the graph isomorphism ...
Miller, Gary L.
core +1 more source
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 +5 more
doaj +1 more source
An Empirical Study on the Evaluation of Graph‐Based Strategies for Intelligent Modeling Assistants
ABSTRACT Context In the context of model‐driven engineering, the proliferation of intelligent modeling assistants (IMAs) has pushed the boundaries of automation, providing modelers with relevant recommendations based on incomplete modeling artifacts as primary input.
Ilirian Ibrahimi +3 more
wiley +1 more source
Toward an Intermediate Structural Representation of Organization in Complex Systems
ABSTRACT Organization is widely recognized as a fundamental concept in complex systems science, yet it rarely appears as an explicit object of scientific representation. Existing approaches successfully represent components, interactions, mechanisms, dynamical states, networks, or functions, but organizational properties are generally inferred from ...
Paméla Magotte
wiley +1 more source
Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
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 +7 more
wiley +1 more source
GINMCL: graph isomorphism network-driven modality enhancement and cross-modal consistency learning for multi-modal fake news detection [PDF]
Multi-modal fake news detection is a technique designed to identify and classify fake news by integrating information from multiple modalities. However, existing multi-modal fake news detection models have significant limitations in capturing structural ...
Lu Deng +3 more
doaj +2 more sources
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 +2 more
wiley +1 more source

