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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...
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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...
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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....
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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...
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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...
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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....
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...