Knowledge and Information Systems

Article	Citations
MG2Vec+: A multi-headed graph attention network for multigraph embedding	402
Understanding stance classification of BERT models: an attention-based framework	399
Exploring interest community-based and interesage-powered recommendation scenarios	166
An efficient joint framework for interacting knowledge graph and item recommendation	121
Partially ordered stochastic conformance checking	120
A robust adaptive linear regression method for severe noise	112
ASRec: adaptive sequential recommendation with dynamic and periodic preferences capturing	102
Graph theory-based mathematical modeling and analysis to predict a football dream team	94
Similarity enhancement of heterogeneous networks by weighted incorporation of information	87
Enhancing knowledge graph embeddings for improved link prediction using graph neural networks	70
An efficient rumor detection model based on deep learning and flower pollination algorithm	70
AdaCC: cumulative cost-sensitive boosting for imbalanced classification	69
DQN-PACG: load regulation method based on DQN and multivariate prediction model	69
An online ensemble classification algorithm for multi-class imbalanced data stream	68
Meta-heuristic endured deep learning model for big data classification: image analytics	66
Fast data-free model compression via dictionary-pair reconstruction	61
A novel image denoising algorithm combining attention mechanism and residual UNet network	57
Feature decorrelation graph contrast learning based on PCA for recommendation	57
CCGCN: a complex composition graph convolutional network for temporal knowledge graph reasoning	54
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification	52
A synthetic over-sampling method with minority and majority classes for imbalance problems	48
RDPNet: a multi-stage summary generation network for long chat dialogues	46
Prompting visual dialog with implicit logical knowledge	45
CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs	43
REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection	41

Unifying Faceted Search and Analytics over RDF Knowledge Graphs	41
Read to grow: exploring metadata of books to make intriguing book recommendations for teenage readers	40
Cross-modal associated learning with spatial–temporal attention for hot topic detection	39
An evidence-based approach for open-domain question answering	38
Entity integrity management under data volume, variety and veracity	37
Scholarly recommendation systems: a literature survey	35
Navigating beyond backpropagation: on alternative training methods for deep neural networks	35
Interactive reinforced feature selection with traverse strategy	34
GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation	33
An efficient deep learning framework for occlusion face prediction system	33
Maximal $$\Delta $$-biclique enumeration in temporal bipartite graphs	33
A hierarchical attention neural network with multi-view fusion for online course recommendation	32
A collaborative filtering recommender system based on a new hybrid similarity measure and improved NSGA-II algorithm	30
Long-term fairness in sequential group recommendations	28
Efficient apache spark-based approach for a probabilistic entity resolution	28
A transformer-based deep reinforcement learning for the Dial-a-Ride problem	28
Task-oriented and attractor regularized multi-task learning for environmental spatial–temporal time series prediction	28
Group decision-making with interval multiplicative preference relations	27
Correction: Local soft rough approximations and their applications to conflict analysis problems	26
KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments	26
Improving density peak clustering on multi-dimensional time series: rediscover and subdivide	26
SRREN: self-aware and relation-aware recurrent evolution network for temporal knowledge graph reasoning	26
JMFEEL-Net: a joint multi-scale feature enhancement and lightweight transformer network for crowd counting	26
A template-based approach for question answering over knowledge bases	25
Data management in digital twins: a systematic literature review	24
Feature refinement for cross-domain aspect-based sentiment analysis: a contrastive learning and domain alignment perspective	24
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms	23
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation	23
Multi-relational knowledge graph-based evolutionary multi-level personalized attention GNN for recommendation systems	23
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks	22
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods	21
Perceptive dual-graph semantic integration network for aspect sentiment triplet extraction	20
A proposed real-time decision support platform for Moroccan fixed mining production systems	20
Multiple feature-anisotropic regularization for out-of-domain intent detection	20
Manifold clustering optimized by adaptive aggregation strategy	20
FZeroTC: fully zero-shot text classification for simultaneously discovering and labeling unseen classes	20
Enhancing multimedia document modeling through extended orbit-based rhetorical structure: an approach to media weighting for importance determination	20
A transformer-based stacked ensemble framework for software defect prediction	20
DyLPA: a dynamic label propagation algorithm for detecting evolving communities	19
Ensuring the privacy of data in modern healthcare systems using adaptive encryption technique and disease prediction via attention-based residual DenseNet with GRU	19
SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction	19
Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape	19
Label-consistent kernel transform learning-based sparse hashing for cross-modal retrieval	18
Semantic similarity-aware feature selection and redundancy removal for text classification using joint mutual information	18
Integrating spatio-temporal correlation and multi-modal preferences for next point-of-interest recommendation	18
Physics-guided machine learning from simulated data with different physical parameters	18
Spectral clustering with scale fairness constraints	18
Drug-CoV: a drug-origin knowledge graph discovering drug repurposing targeting COVID-19	18
Protecting the privacy of social network data using graph correction	18
Deep learning-empowered intrusion detection framework for the Internet of Medical Things environment	18

Clusterability test for categorical data	18
Fed3C: federated clustering-based centralized classification	18
Twain-GCN: twain-syntax graph convolutional networks for aspect-based sentiment analysis	18
Improving out-of-distribution detection by enforcing confidence margin	17
Recommender Systems in Cybersecurity	17
CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data	17
Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem	17
Recurrent imputation network with patterned output (RINPO) for sparse data	17
Tailoring and evaluating the Wikipedia for in-domain comparable corpora extraction	16
A systematic review on federated learning system: a new paradigm to machine learning	16
Multi-modal sarcasm detection using ensemble net model	16
Efficient stable community search in temporal signed graphs	16
A generic framework for mining sequences with various interestingness measures in dynamic attributed graphs	16
A study into patient similarity through representation learning from medical records	16
A new way of search query like knowledge graph and its interpretability	16
Conversational question answering: a survey	16
Belief rule-based system with two-stage optimization approach for handling class-imbalance problems	15
Generalized few-shot node classification: toward an uncertainty-based solution	15
Collab-RS: semantic recommendation of external collaborators for projects in software ecosystems	15
Fusing graph structural information with pre-trained generative model for knowledge graph-to-text generation	15
Mining temporal attack patterns from cyberthreat intelligence reports	15
Temporal hypergraph motifs	15
Bold driver and static restart fused adaptive momentum for visual question answering	15
Caption matters: a new perspective for knowledge-based visual question answering	15
A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems	15
Enhanced bipolar disorder assessment using novel similarity measures for possibility fuzzy bipolar soft information	14
Efficient parameter learning for Bayesian Network classifiers following the Apache Spark Dataframes paradigm	14
Ensembled Bayesian tabular data generator	14
Theoretical backgrounds of Boolean reasoning-based binary n-clustering	14
CKRHE: a hierarchical embedding method for large-scale complex knowledge graphs	14
Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach	13
Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques	13
Who dominates generative AI? Analyzing user feedback to identify common use cases and areas for improvement in ChatGPT, Copilot and Gemini	13
Logical design of multi-model data warehouses	13
Integrated deep learning and blockchain-based framework for cloud manufacturing with improved customer satisfaction	13
Dynamic resource orchestration in edge computing environments using multi-agent reinforcement learning	13
Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems	13
Leveraging BERT for extractive text summarization on federal police documents	13
Deep active learning for identifying hate and offensive content in multilingual social media posts	13
A hybrid ontology-based feature selection framework for enhancing predictive accuracy in regression models	13
Unlocking wisdom: enhancing biomedical question answering with domain knowledge	13
Robust-GBDT: leveraging robust loss for noisy and imbalanced classification with GBDT	13
Light spectral-based graph convolutional networks: optimizing ranking and longtail awareness for e-commerce recommendation systems	12
A hybrid clustering approach for link prediction in heterogeneous information networks	12
Enhancing cybersecurity using optimized anti-interference dynamic integral neural network-based intrusion detection system	12
Complex Attributed Network Embedding for medical complication prediction	12
Enhanced software defect prediction using edge feature and self-attention GAN with pelican optimization	12
GSBC-SNet: a novel graph-aware bidirectional contrastive semantic network for multilabel text classification	12
Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE	12
One-to-many two-sided matching decision of logistics O2O platform considering the intermediary benefit	12
A mathematical model of the hidden feedback loop effect in machine learning systems	12
An overview of aggregation methods for social networks analysis	12
C22MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector	12
Dual neighborhood thresholding patterns based on directional sampling	12
A new multiattribute decision making method based on interval-valued intuitionistic fuzzy values	12
BPF: a novel cluster boundary points detection method for static and streaming data	12
Improved score aggregation for authorship verification	11
Temporal word embedding with predictive capability	11
Efficient mining of top-K cross-level high utility itemsets on unstable profit databases	11
User preferences learning with temporal point process and attention model for next POI recommendation	11
Mining conflicting opinions from user reviews: a semantic rule-based framework for software requirements engineering	11
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19	11
Permutation-based multi-objective evolutionary feature selection for high-dimensional data	11
Sarcasm detection using optimized bi-directional long short-term memory	11
Automated contrastive optimization of class-based feature distribution for noncontinuous dataset	11
AETC: an automated pest detection and classification model using optimal integration of Yolo + SSD and adaptive ensemble transfer CNN with IoT-assisted pest images	11
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach	11
Forecasting financial market structure from network features using machine learning	11
Ranking methods for skyline queries	11
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents	11
A survey on ensemble classification methods from the dual perspectives of sampling and learning	10
GWNN-HF: beyond assortativity in graph wavelet neural network	10
CRAS: cross-domain recommendation via aspect-level sentiment extraction	10
Automated database design for document stores with multicriteria optimization	10
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks	10
Information extraction pipelines for knowledge graphs	10
Latent side-information dynamic augmentation for incremental recommendation	10
Topic-dependent relation prediction in argument mining: ternary classification	10
Elastic similarity and distance measures for multivariate time series	10
Owner name entity recognition in websites based on heterogeneous and dynamic graph transformer	10

Enumerating all multi-constrained s-t paths on temporal graph	10
E-learning app selection multi-criteria group decision-making problem using Einstein operator in linguistic trapezoidal neutrosophic environment	10
Explaining deep multi-class time series classifiers	10
A priority-based blockchain transaction packaging algorithm in a cloud-edge-end collaboration computing environment	10
Contrastive prototype source-free adaptation boosted by inherent data structure	10
XLR-KGDD: leveraging LLM and RAG for knowledge graph-based explainable disease diagnosis using multimodal clinical information	10
Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement	10
Identifying significant textual features in titles of Google play store applications and their influence on user review rating	10
Efficient spatiotemporal index for geostreaming data on road networks based on graph hierarchical partition	10
Delving deep: DDoS attack resilience through deep learning approaches	10
D-TIME: an improved framework for multivariate time series forecasting	10
Enhancing link prediction through node embedding and ensemble learning	10
Adaptive curvature exploration geometric graph neural network	10
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment	10
Retroductive reasoning: a data-driven intelligent method for knowledge discovery using cognitive IoT	10
Situational Data Integration in Question Answering systems: a survey over two decades	10
Leveraging hierarchy-aware diffusion model and knowledge-enhanced contrastive learning for recommendation	10
Emerging AI threats in cybercrime: a review of zero-day attacks via machine, deep, and federated learning	10
Instruction-tuned generative AI for disability access: a comparative evaluation using cosine similarity	10
SimGCL: graph contrastive learning by finding homophily in heterophily	10
Tuning parameters of Apache Spark with Gauss–Pareto-based multi-objective optimization	10
Analysis and price prediction of cryptocurrencies for historical and live data using ensemble-based neural networks	10
S-RAP: relevance-aware QoS prediction in web-services and user contexts	10
Implicit graph neural network for deep graph transformation	9
Dynamic token pruning for LLMs: leveraging task-specific attention and adaptive thresholds	9
Distributional constraint discovery for intelligent auditing	9
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering	9
Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length	9
Adaptive hierarchical knowledge distillation from GNNs to MLPs	9
Comparative analysis of sentence similarity detection using machine and deep learning with vectorization techniques	9
A systematic literature review on sentiment analysis techniques, challenges, and future trends	9
Latent mutual feature extraction for cross-domain recommendation	9
GANCDE: Neural networks based on graphs and attention neural control differential equations for human activity recognition	9
Accurate data imputation in healthcare with optimized class thresholds using enhanced firefly algorithm	9
Feature importance measure of a multilayer perceptron based on the presingle-connection layer	9
Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets	9
Diversity-enhanced conversational recommendation via multi-agent reinforcement learning	9
ETM-F: an enriched topic modeling and filtration framework integrating ontologies and deep learning for biomedical trend analysis	9
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model	9
GDDRec: graph neural diffusion model for diversified recommendation	9
Efficient word segmentation for enhancing Chinese spelling check in pre-trained language model	9
Biological big-data sources, problems of storage, computational issues, and applications: a comprehensive review	9
Iterative sliding window aggregation for generating length-scale-specific fractal features	9
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging	9
Text augmentation method with adjustable manipulation intensity based on in-context learning	9
Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning	9
Online and Customizable Fairness-aware Learning	9
An enhanced trans-residual bidirectional long short-term memory-based medical dialogue summarization model using advanced heuristic approach	9
Gated information bottleneck for generalization in sequential environments	9
Correction: Estimating time series averages from latent space of multi-tasking neural networks	9
Self-supervised role learning for graph neural networks	8
GoSum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state	8
LightCapsGNN: light capsule graph neural network for graph classification	8
Enhancing the performance of deep learning models with fuzzy c-means clustering	8
Enhancing molecular property prediction by fusing graph and sequence encoder representations	8
Revolutionising anomaly detection: a hybrid framework for anomaly detection integrating isolation forest, autoencoder, and Conv. LSTM	8
The significance of Kappa and F-score in clustering ensemble: a comprehensive analysis	8
Scalable multi-view subspace clustering with kernel alignment	8
An efficient node embedding approach via adaptive graph recurrent autoencoder with attention procedures	8
Multimodal aspect-based sentiment analysis based on a dual syntactic graph network and joint contrastive learning	8
Matching news articles and wikipedia tables for news augmentation	8
Class incremental named entity recognition without forgetting	8
Partial-order-based process mining: a survey and outlook	8
Fairness in graph-based semi-supervised learning	8
Grier: graph repairing based on iterative embedding and rules	8
Reasoning subevent relation over heterogeneous event graph	8
Text classification using embeddings: a survey	8
Autonomous graph mining algorithm search with best performance trade-off	8
SecPPAccess: secured privacy protection access control on big data in cloud computing paradigm	8
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning	8
Provably accurate and scalable linear classifiers in hyperbolic spaces	8
Estimating time series averages from latent space of multi-tasking neural networks	8
Feature selection using game Shapley improved grey wolf optimizer for optimizing cancer classification	8
Information extraction from electronic medical documents: state of the art and future research directions	8
Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems	8
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels	8
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach	8
A study on data imputation and prediction modelling using maximum margin matrix factorization	8
Joint entropy minimization-based statistical dependency for deep multi-view clustering	8
Noise-tolerant multi-view feature selection	8
ARP spoofing detection using machine learning classifiers: an experimental study	8
Diff-PIE: an engineering investment estimation model based on transfer learning and risk-aware modeling for EPC projects	8
Stable and semi-stable sampling approaches for continuously used samples	7
A novel approach for dynamic portfolio management integrating K-means clustering, mean-variance optimization, and reinforcement learning	7
A novel contrastive multi-view framework for heterogeneous graph embedding	7
A newly developed multi-strategy optimization algorithm framework based on the adaptive switching approach coupled with grey wolf optimizer	7
SkSpO-L2TDBM: optimized drug name recognition using a large language-based time-distributed deep learning model	7
An aviation accidents prediction method based on MTCNN and Bayesian optimization	7
Taxonomy of deep learning-based intrusion detection system approaches in fog computing: a systematic review	7
Stack generalization-based hybrid ensemble classifier for imbalanced data	7
Hybrid deep learning and similarity measures for requirements-driven composition of semantic web services	7
SEGODE: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction	7
A parameter-free text classification method based on dual compressors	7
Oversmoothing alleviation in graph neural networks: a survey and unified view	7
Exploring the potential of deep regression model for next-location prediction	7