Knowledge and Information Systems

Article	Citations
MG2Vec+: A multi-headed graph attention network for multigraph embedding	389
Understanding stance classification of BERT models: an attention-based framework	376
Enhancing knowledge graph embeddings for improved link prediction using graph neural networks	159
A novel image denoising algorithm combining attention mechanism and residual UNet network	118
ASRec: adaptive sequential recommendation with dynamic and periodic preferences capturing	113
A robust adaptive linear regression method for severe noise	101
Graph theory-based mathematical modeling and analysis to predict a football dream team	99
Similarity enhancement of heterogeneous networks by weighted incorporation of information	91
Exploring interest community-based and interesage-powered recommendation scenarios	84
An efficient joint framework for interacting knowledge graph and item recommendation	68
A synthetic over-sampling method with minority and majority classes for imbalance problems	68
An efficient rumor detection model based on deep learning and flower pollination algorithm	66
Partially ordered stochastic conformance checking	65
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification	65
Meta-heuristic endured deep learning model for big data classification: image analytics	63
Feature decorrelation graph contrast learning based on PCA for recommendation	61
Fast data-free model compression via dictionary-pair reconstruction	56
DQN-PACG: load regulation method based on DQN and multivariate prediction model	54
AdaCC: cumulative cost-sensitive boosting for imbalanced classification	50
RDPNet: a multi-stage summary generation network for long chat dialogues	48
An online ensemble classification algorithm for multi-class imbalanced data stream	48
Prompting visual dialog with implicit logical knowledge	44
CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs	44
REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection	43
An evidence-based approach for open-domain question answering	39

Entity integrity management under data volume, variety and veracity	38
An efficient deep learning framework for occlusion face prediction system	36
A hierarchical attention neural network with multi-view fusion for online course recommendation	34
Task-oriented and attractor regularized multi-task learning for environmental spatial–temporal time series prediction	33
Long-term fairness in sequential group recommendations	33
A template-based approach for question answering over knowledge bases	33
A transformer-based deep reinforcement learning for the Dial-a-Ride problem	33
Maximal $$\Delta $$-biclique enumeration in temporal bipartite graphs	32
Group decision-making with interval multiplicative preference relations	31
Correction: Local soft rough approximations and their applications to conflict analysis problems	31
Efficient apache spark-based approach for a probabilistic entity resolution	31
GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation	30
JMFEEL-Net: a joint multi-scale feature enhancement and lightweight transformer network for crowd counting	28
Unifying Faceted Search and Analytics over RDF Knowledge Graphs	28
Cross-modal associated learning with spatial–temporal attention for hot topic detection	28
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation	27
A collaborative filtering recommender system based on a new hybrid similarity measure and improved NSGA-II algorithm	26
Navigating beyond backpropagation: on alternative training methods for deep neural networks	25
Improving density peak clustering on multi-dimensional time series: rediscover and subdivide	25
Read to grow: exploring metadata of books to make intriguing book recommendations for teenage readers	25
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods	24
SRREN: self-aware and relation-aware recurrent evolution network for temporal knowledge graph reasoning	24
KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments	24
Interactive reinforced feature selection with traverse strategy	24
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks	23
Scholarly recommendation systems: a literature survey	23
Feature refinement for cross-domain aspect-based sentiment analysis: a contrastive learning and domain alignment perspective	23
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms	22
Data management in digital twins: a systematic literature review	21
Improving out-of-distribution detection by enforcing confidence margin	20
Multiple feature-anisotropic regularization for out-of-domain intent detection	20
Physics-guided machine learning from simulated data with different physical parameters	20
Perceptive dual-graph semantic integration network for aspect sentiment triplet extraction	20
FZeroTC: fully zero-shot text classification for simultaneously discovering and labeling unseen classes	20
A proposed real-time decision support platform for Moroccan fixed mining production systems	19
Enhancing multimedia document modeling through extended orbit-based rhetorical structure: an approach to media weighting for importance determination	19
CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data	18
SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction	18
A study into patient similarity through representation learning from medical records	18
Semantic similarity-aware feature selection and redundancy removal for text classification using joint mutual information	18
Manifold clustering optimized by adaptive aggregation strategy	18
Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem	18
Ensuring the privacy of data in modern healthcare systems using adaptive encryption technique and disease prediction via attention-based residual DenseNet with GRU	18
Drug-CoV: a drug-origin knowledge graph discovering drug repurposing targeting COVID-19	18
DyLPA: a dynamic label propagation algorithm for detecting evolving communities	18
Integrating spatio-temporal correlation and multi-modal preferences for next point-of-interest recommendation	17
Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape	17
Clusterability test for categorical data	17
Fed3C: federated clustering-based centralized classification	17
Protecting the privacy of social network data using graph correction	16

Deep learning-empowered intrusion detection framework for the Internet of Medical Things environment	16
A systematic review on federated learning system: a new paradigm to machine learning	16
Recommender Systems in Cybersecurity	16
Spectral clustering with scale fairness constraints	16
Label-consistent kernel transform learning-based sparse hashing for cross-modal retrieval	16
C22MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector	16
Conversational question answering: a survey	16
A transformer-based stacked ensemble framework for software defect prediction	16
A generic framework for mining sequences with various interestingness measures in dynamic attributed graphs	16
Twain-GCN: twain-syntax graph convolutional networks for aspect-based sentiment analysis	16
Efficient stable community search in temporal signed graphs	15
A new way of search query like knowledge graph and its interpretability	15
Tailoring and evaluating the Wikipedia for in-domain comparable corpora extraction	15
CKRHE: a hierarchical embedding method for large-scale complex knowledge graphs	15
Efficient parameter learning for Bayesian Network classifiers following the Apache Spark Dataframes paradigm	15
Bold driver and static restart fused adaptive momentum for visual question answering	15
Enhanced bipolar disorder assessment using novel similarity measures for possibility fuzzy bipolar soft information	15
Fusing graph structural information with pre-trained generative model for knowledge graph-to-text generation	15
Multi-modal sarcasm detection using ensemble net model	15
Theoretical backgrounds of Boolean reasoning-based binary n-clustering	15
Unlocking wisdom: enhancing biomedical question answering with domain knowledge	15
Deep active learning for identifying hate and offensive content in multilingual social media posts	14
Ensembled Bayesian tabular data generator	14
Logical design of multi-model data warehouses	14
Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE	14
Caption matters: a new perspective for knowledge-based visual question answering	13
Leveraging BERT for extractive text summarization on federal police documents	13
Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems	13
Belief rule-based system with two-stage optimization approach for handling class-imbalance problems	13
A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems	13
Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach	13
A hybrid ontology-based feature selection framework for enhancing predictive accuracy in regression models	13
A hybrid clustering approach for link prediction in heterogeneous information networks	13
Robust-GBDT: leveraging robust loss for noisy and imbalanced classification with GBDT	13
Mining temporal attack patterns from cyberthreat intelligence reports	13
Enhancing cybersecurity using optimized anti-interference dynamic integral neural network-based intrusion detection system	12
Dynamic resource orchestration in edge computing environments using multi-agent reinforcement learning	12
Who dominates generative AI? Analyzing user feedback to identify common use cases and areas for improvement in ChatGPT, Copilot and Gemini	12
Dual neighborhood thresholding patterns based on directional sampling	12
Sarcasm detection using optimized bi-directional long short-term memory	12
One-to-many two-sided matching decision of logistics O2O platform considering the intermediary benefit	12
Integrated deep learning and blockchain-based framework for cloud manufacturing with improved customer satisfaction	12
Collab-RS: semantic recommendation of external collaborators for projects in software ecosystems	12
Temporal hypergraph motifs	12
Identifying significant textual features in titles of Google play store applications and their influence on user review rating	12
A new multiattribute decision making method based on interval-valued intuitionistic fuzzy values	12
Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques	12
Generalized few-shot node classification: toward an uncertainty-based solution	12
Automated database design for document stores with multicriteria optimization	12
A mathematical model of the hidden feedback loop effect in machine learning systems	11
An overview of aggregation methods for social networks analysis	11
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19	11
Enhanced software defect prediction using edge feature and self-attention GAN with pelican optimization	11
Automated contrastive optimization of class-based feature distribution for noncontinuous dataset	11
Forecasting financial market structure from network features using machine learning	11
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach	11
Complex Attributed Network Embedding for medical complication prediction	11
BPF: a novel cluster boundary points detection method for static and streaming data	11
GSBC-SNet: a novel graph-aware bidirectional contrastive semantic network for multilabel text classification	11
Light spectral-based graph convolutional networks: optimizing ranking and longtail awareness for e-commerce recommendation systems	11
Explaining deep multi-class time series classifiers	10
Delving deep: DDoS attack resilience through deep learning approaches	10
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents	10
Owner name entity recognition in websites based on heterogeneous and dynamic graph transformer	10
Contrastive prototype source-free adaptation boosted by inherent data structure	10
Feature importance measure of a multilayer perceptron based on the presingle-connection layer	10
Permutation-based multi-objective evolutionary feature selection for high-dimensional data	10
Ranking methods for skyline queries	10
Temporal word embedding with predictive capability	10
CRAS: cross-domain recommendation via aspect-level sentiment extraction	10
XLR-KGDD: leveraging LLM and RAG for knowledge graph-based explainable disease diagnosis using multimodal clinical information	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
Elastic similarity and distance measures for multivariate time series	10
Biological big-data sources, problems of storage, computational issues, and applications: a comprehensive review	10
Leveraging hierarchy-aware diffusion model and knowledge-enhanced contrastive learning for recommendation	10
Topic-dependent relation prediction in argument mining: ternary classification	10
Latent side-information dynamic augmentation for incremental recommendation	10
User preferences learning with temporal point process and attention model for next POI recommendation	10
AETC: an automated pest detection and classification model using optimal integration of Yolo + SSD and adaptive ensemble transfer CNN with IoT-assisted pest images	10

Emerging AI threats in cybercrime: a review of zero-day attacks via machine, deep, and federated learning	10
Information extraction pipelines for knowledge graphs	10
Efficient spatiotemporal index for geostreaming data on road networks based on graph hierarchical partition	10
Retroductive reasoning: a data-driven intelligent method for knowledge discovery using cognitive IoT	10
GWNN-HF: beyond assortativity in graph wavelet neural network	10
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment	10
Tuning parameters of Apache Spark with Gauss–Pareto-based multi-objective optimization	10
Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement	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
Efficient mining of top-K cross-level high utility itemsets on unstable profit databases	10
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks	10
Improved score aggregation for authorship verification	10
Situational Data Integration in Question Answering systems: a survey over two decades	10
A priority-based blockchain transaction packaging algorithm in a cloud-edge-end collaboration computing environment	10
A survey on ensemble classification methods from the dual perspectives of sampling and learning	10
D-TIME: an improved framework for multivariate time series forecasting	9
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model	9
Implicit graph neural network for deep graph transformation	9
GANCDE: Neural networks based on graphs and attention neural control differential equations for human activity recognition	9
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging	9
Enhancing link prediction through node embedding and ensemble learning	9
Comparative analysis of sentence similarity detection using machine and deep learning with vectorization techniques	9
Adaptive curvature exploration geometric graph neural network	9
Distributional constraint discovery for intelligent auditing	9
Gated information bottleneck for generalization in sequential environments	9
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering	9
Online and Customizable Fairness-aware Learning	9
Iterative sliding window aggregation for generating length-scale-specific fractal features	9
Analysis and price prediction of cryptocurrencies for historical and live data using ensemble-based neural networks	9
LightCapsGNN: light capsule graph neural network for graph classification	9
Dynamic token pruning for LLMs: leveraging task-specific attention and adaptive thresholds	9
Accurate data imputation in healthcare with optimized class thresholds using enhanced firefly algorithm	9
Efficient word segmentation for enhancing Chinese spelling check in pre-trained language model	9
Latent mutual feature extraction for cross-domain recommendation	9
S-RAP: relevance-aware QoS prediction in web-services and user contexts	9
A systematic literature review on sentiment analysis techniques, challenges, and future trends	8
Diversity-enhanced conversational recommendation via multi-agent reinforcement learning	8
Correction: Estimating time series averages from latent space of multi-tasking neural networks	8
Text augmentation method with adjustable manipulation intensity based on in-context learning	8
Information extraction from electronic medical documents: state of the art and future research directions	8
Partial-order-based process mining: a survey and outlook	8
Multimodal aspect-based sentiment analysis based on a dual syntactic graph network and joint contrastive learning	8
Enhancing molecular property prediction by fusing graph and sequence encoder representations	8
Diff-PIE: an engineering investment estimation model based on transfer learning and risk-aware modeling for EPC projects	8
Grier: graph repairing based on iterative embedding and rules	8
Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length	8
Adaptive hierarchical knowledge distillation from GNNs to MLPs	8
ETM-F: an enriched topic modeling and filtration framework integrating ontologies and deep learning for biomedical trend analysis	8
An enhanced trans-residual bidirectional long short-term memory-based medical dialogue summarization model using advanced heuristic approach	8
GDDRec: graph neural diffusion model for diversified recommendation	8
Modeling and predicting students’ engagement behaviors using mixture Markov models	8
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels	8
Text classification using embeddings: a survey	8
Joint entropy minimization-based statistical dependency for deep multi-view clustering	8
Matching news articles and wikipedia tables for news augmentation	8
Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets	8
Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning	8
GoSum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state	8
Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems	8
Fairness in graph-based semi-supervised learning	8
Class incremental named entity recognition without forgetting	8
Estimating time series averages from latent space of multi-tasking neural networks	8
Self-supervised role learning for graph neural networks	8
Provably accurate and scalable linear classifiers in hyperbolic spaces	8
An efficient node embedding approach via adaptive graph recurrent autoencoder with attention procedures	8
Feature selection using game Shapley improved grey wolf optimizer for optimizing cancer classification	8
Revolutionising anomaly detection: a hybrid framework for anomaly detection integrating isolation forest, autoencoder, and Conv. LSTM	7
The significance of Kappa and F-score in clustering ensemble: a comprehensive analysis	7
ARP spoofing detection using machine learning classifiers: an experimental study	7
GA-based QOS-aware workflow scheduling of deadline tasks in grid computing	7
Greedy centroid initialization for federated K-means	7
Property graph representation learning for node classification	7
A deep learning-based disease diagnosis with intrusion detection for a secured healthcare system	7
A comprehensive survey of stream reasoning and its integration with knowledge graphs	7
Securing the collective intelligence: a comprehensive review of federated learning security attacks and defensive strategies	7
Noise-tolerant multi-view feature selection	7
Enhancing the performance of deep learning models with fuzzy c-means clustering	7
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning	7
An action–reaction influence model relying on OSN user-generated content	7
Exploring the potential of deep regression model for next-location prediction	7
Oversmoothing alleviation in graph neural networks: a survey and unified view	7
Cross-space topological contrastive learning for knowledge graph-aware issue recommendation	7
Probabilistic temporal semantic graph: a holistic framework for event detection in twitter	7
A parameter-free text classification method based on dual compressors	7
Next process-activity prediction using Switch-Transformer: approach, visualization, and performance evaluation	7
SecPPAccess: secured privacy protection access control on big data in cloud computing paradigm	7
Scalable multi-view subspace clustering with kernel alignment	7
A novel contrastive multi-view framework for heterogeneous graph embedding	7
Domino drift effect approach for probability estimation of feature drift in high-dimensional data	7
An aviation accidents prediction method based on MTCNN and Bayesian optimization	7
Hybrid deep learning and similarity measures for requirements-driven composition of semantic web services	7
A newly developed multi-strategy optimization algorithm framework based on the adaptive switching approach coupled with grey wolf optimizer	7
FedDive: escaping local minima through divergence-rewarded exploration in federated learning: a robust approach with gated divergence rewards	7
Vector knowledge transfer-driven representation learning for heterogeneous hypernetworks	7