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Showing 1-20 of 10,000 results
  1. LightCapsGNN: light capsule graph neural network for graph classification

    Graph neural networks (GNNs) have achieved excellent performances in many graph-related tasks. However, they need appropriate pooling operations to...

    Yucheng Yan, ** Li, ... Yang-Geng Fu in Knowledge and Information Systems
    Article 04 July 2024
  2. Towards effective urban region-of-interest demand modeling via graph representation learning

    Identifying the region’s functionalities and what the specific Point-of-Interest (POI) needs is essential for effective urban planning. However, due...

    Pu Wang, **gya Sun, ... Lei Zhao in Data Mining and Knowledge Discovery
    Article 03 July 2024
  3. Mmds: multimodal benchmark dataset for suspicious profile detection on twitter social network

    In the era of widespread social media usage, detecting and mitigating suspicious profiles is essential for maintaining social platform integrity....

    Monika Choudhary, Spandan Patil, ... Emmanuel S. Pilli in Social Network Analysis and Mining
    Article 03 July 2024
  4. Multi-modal Machine Learning Investigation of Telework and Transit Connections

    Public transit in the U.S. has an unsettled future. The onset of the COVID-19 pandemic saw a dramatic decline in transit ridership, with agency...

    Deirdre Edward, Jason Soria, Amanda Stathopoulos in Data Science for Transportation
    Article 03 July 2024
  5. Personalization of OLAP queries for hierarchical visualization under constraints

    Decision-makers, whether at the corporate or enterprise level, do not have the same vision of all decision-making data since their needs vary greatly...

    Ghassen Hamdi, Mohamed Nazih Omri in Social Network Analysis and Mining
    Article 03 July 2024
  6. Mining digital identity insights: patent analysis using NLP

    The field of digital identity innovation has grown significantly over the last 30 years, with over 6000 technology patents registered worldwide....

    Matthew Comb, Andrew Martin in EURASIP Journal on Information Security
    Article Open access 03 July 2024
  7. Short-term POI recommendation with personalized time-weighted latent ranking

    In this paper, we formulate a novel Point-of-interest (POI) recommendation task to recommend a set of new POIs for visit in a short period following...

    Yufeng Zou, Kaiqi Zhao in Discover Computing
    Article Open access 03 July 2024
  8. Spatio-temporal wind speed forecasting with approximate Bayesian uncertainty quantification

    The prediction of short- and long-term wind speed has great utility for the industry, especially for wind energy generation. Deep neural networks can...

    Airton F. Souza Neto, César L. C. Mattos, João P. P. Gomes in Neural Computing and Applications
    Article 03 July 2024
  9. A novel discrete slash family of distributions with application to epidemiology informatics data

    This study puts forward a new class of discrete distribution that can be used by the epidemiologists and medical scientists to model data relating to...

    Joshin Joseph, Jiju Gillariose in International Journal of Data Science and Analytics
    Article 02 July 2024
  10. Temporal analysis of topic modeling output by machine learning techniques

    Topic modeling is widely recognized as one of the most effective and significant methods of unsupervised text analysis. This method facilitates...

    Faezeh Azizi, Hamed Vahdat-Nejad, Hamideh Hajiabadi in International Journal of Data Science and Analytics
    Article 02 July 2024
  11. Evaluating collective action theory-based model to simulate mobs

    A mob is an event that is organized via social media, email, SMS, or other forms of digital communication technologies in which a group of people...

    Samer Al-khateeb, Jack Burright, Nitin Agarwal in Social Network Analysis and Mining
    Article Open access 02 July 2024
  12. Ant Colony Optimization for solving Directed Chinese Postman Problem

    The Chinese Postman Problem (CPP) is a well-known optimization problem involving determining the shortest route, modeling the system as an undirected...

    Giacinto Angelo Sgarro, Domenico Santoro, Luca Grilli in Neural Computing and Applications
    Article Open access 02 July 2024
  13. Lyapunov-guided representation of recurrent neural network performance

    Recurrent neural networks (RNN) are ubiquitous computing systems for sequences and multivariate time-series data. While several robust RNN...

    Ryan Vogt, Yang Zheng, Eli Shlizerman in Neural Computing and Applications
    Article Open access 02 July 2024
  14. On a pyramid structure in social networks

    This study introduces a hierarchical pyramid structure as a novel framework for social network analysis, differing fundamentally from traditional...

    Wenruo Lyu, Liang Zhao in Social Network Analysis and Mining
    Article 02 July 2024
  15. New custom rating for improving recommendation system performance

    Recommendation system is currently attracting the interest of many explorers. Various new businesses have surfaced with the rise of online marketing...

    Tora Fahrudin, Dedy Rahman Wijaya in Journal of Big Data
    Article Open access 02 July 2024
  16. A targeted vaccination strategy based on dynamic community detection for epidemic networks

    Vaccination is a vital strategy to prevent and control the spread of infectious diseases. In this paper, we propose a vaccination strategy that...

    Nadia Laasri, Dounia Lotfi, Ahmed Drissi El Maliani in Social Network Analysis and Mining
    Article 02 July 2024
  17. Res-MGCA-SE: a lightweight convolutional neural network based on vision transformer for medical image classification

    This paper presents a lightweight and accurate convolution neural network (CNN) based on encoder in vision transformer structure, which uses...

    Sina Soleimani-Fard, Seok-bum Ko in Neural Computing and Applications
    Article 02 July 2024
  18. A new feature selection algorithm based on fuzzy-pathfinder optimization

    Data mining and machine learning require feature selection because features can dramatically improve model performance. In contrast, there are no...

    Aboozar Zandvakili, Najme Mansouri, Mohammad Masoud Javidi in Neural Computing and Applications
    Article 01 July 2024
  19. Editorial

    Andreas Henrich, Wolfgang Müller, ... Uta Störl in Datenbank-Spektrum
    Article Open access 01 July 2024
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