Knowledge and Information Systems

Article	Citations
Understanding stance classification of BERT models: an attention-based framework	478
An efficient joint framework for interacting knowledge graph and item recommendation	435
ASRec: adaptive sequential recommendation with dynamic and periodic preferences capturing	192
Graph theory-based mathematical modeling and analysis to predict a football dream team	163
Similarity enhancement of heterogeneous networks by weighted incorporation of information	136
An efficient rumor detection model based on deep learning and flower pollination algorithm	106
CCGCN: a complex composition graph convolutional network for temporal knowledge graph reasoning	101
Fast data-free model compression via dictionary-pair reconstruction	100
Feature decorrelation graph contrast learning based on PCA for recommendation	91
Enhancing knowledge graph embeddings for improved link prediction using graph neural networks	89
Multi-armed bandits in recommender systems: advances, challenges, and future prospects	89
Meta-heuristic endured deep learning model for big data classification: image analytics	82
Partially ordered stochastic conformance checking	82
Improved online learning algorithm combined with K-nearest hyperbox expansion for general fuzzy min–max neural networks	73
Extraction of structured logic forms from geometry problem descriptions	69
MG2Vec+: A multi-headed graph attention network for multigraph embedding	68
DQN-PACG: load regulation method based on DQN and multivariate prediction model	64
Networked data science: a unified network modeling framework	62
A robust adaptive linear regression method for severe noise	60
An online ensemble classification algorithm for multi-class imbalanced data stream	59
DeepIDDFS: efficient entity resolution with hybrid embeddings	58
Exploring interest community-based and interesage-powered recommendation scenarios	54
A novel image denoising algorithm combining attention mechanism and residual UNet network	52
AdaCC: cumulative cost-sensitive boosting for imbalanced classification	51
A synthetic over-sampling method with minority and majority classes for imbalance problems	50

REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection	47
Prompting visual dialog with implicit logical knowledge	47
Read to grow: exploring metadata of books to make intriguing book recommendations for teenage readers	46
Unifying Faceted Search and Analytics over RDF Knowledge Graphs	46
Cross-modal associated learning with spatial–temporal attention for hot topic detection	43
Entity integrity management under data volume, variety and veracity	41
Interactive reinforced feature selection with traverse strategy	40
An efficient deep learning framework for occlusion face prediction system	37
Maximal $$\Delta $$-biclique enumeration in temporal bipartite graphs	37
Multi-relational knowledge graph-based evolutionary multi-level personalized attention GNN for recommendation systems	36
SRREN: self-aware and relation-aware recurrent evolution network for temporal knowledge graph reasoning	36
Efficient apache spark-based approach for a probabilistic entity resolution	36
A transformer-based deep reinforcement learning for the Dial-a-Ride problem	35
Group decision-making with interval multiplicative preference relations	34
GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation	33
A template-based approach for question answering over knowledge bases	32
JMFEEL-Net: a joint multi-scale feature enhancement and lightweight transformer network for crowd counting	32
Long-term fairness in sequential group recommendations	31
KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments	31
Navigating beyond backpropagation: on alternative training methods for deep neural networks	30
Feature refinement for cross-domain aspect-based sentiment analysis: a contrastive learning and domain alignment perspective	30
Improving density peak clustering on multi-dimensional time series: rediscover and subdivide	30
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation	26
Correction: Local soft rough approximations and their applications to conflict analysis problems	26
A hierarchical attention neural network with multi-view fusion for online course recommendation	26
Task-oriented and attractor regularized multi-task learning for environmental spatial–temporal time series prediction	26
A collaborative filtering recommender system based on a new hybrid similarity measure and improved NSGA-II algorithm	25
RDPNet: a multi-stage summary generation network for long chat dialogues	25
Scholarly recommendation systems: a literature survey	25
An evidence-based approach for open-domain question answering	25
Data management in digital twins: a systematic literature review	25
CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs	24
Adaptive approaches towards fully incremental prediction interval for data stream regression	24
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods	24
Integrating spatio-temporal correlation and multi-modal preferences for next point-of-interest recommendation	23
Multiple feature-anisotropic regularization for out-of-domain intent detection	23
Twain-GCN: twain-syntax graph convolutional networks for aspect-based sentiment analysis	23
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks	23
Conversational question answering: a survey	23
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms	23
Label-consistent kernel transform learning-based sparse hashing for cross-modal retrieval	22
A systematic review on federated learning system: a new paradigm to machine learning	22
Deep learning-empowered intrusion detection framework for the Internet of Medical Things environment	22
A transformer-based stacked ensemble framework for software defect prediction	22
FZeroTC: fully zero-shot text classification for simultaneously discovering and labeling unseen classes	21
Semantic similarity-aware feature selection and redundancy removal for text classification using joint mutual information	21
A proposed real-time decision support platform for Moroccan fixed mining production systems	21
Protecting the privacy of social network data using graph correction	20
Enhancing multimedia document modeling through extended orbit-based rhetorical structure: an approach to media weighting for importance determination	20
Ensuring the privacy of data in modern healthcare systems using adaptive encryption technique and disease prediction via attention-based residual DenseNet with GRU	20

Fed3C: federated clustering-based centralized classification	20
Manifold clustering optimized by adaptive aggregation strategy	20
Recurrent imputation network with patterned output (RINPO) for sparse data	19
Improving out-of-distribution detection by enforcing confidence margin	19
A study into patient similarity through representation learning from medical records	19
Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem	19
SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction	19
A generic framework for mining sequences with various interestingness measures in dynamic attributed graphs	19
Spectral clustering with scale fairness constraints	19
Drug-CoV: a drug-origin knowledge graph discovering drug repurposing targeting COVID-19	19
Recommender Systems in Cybersecurity	18
Perceptive dual-graph semantic integration network for aspect sentiment triplet extraction	18
DyLPA: a dynamic label propagation algorithm for detecting evolving communities	18
Subspace ensemble learning by heterogeneous correlation collaborative ensemble for class imbalance problem	18
Cross-lingual sentiment analysis via multimodal transformer fusion and lightweight deep ensemble learning framework	18
Clusterability test for categorical data	18
Bold driver and static restart fused adaptive momentum for visual question answering	17
Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape	17
Efficient stable community search in temporal signed graphs	17
CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data	17
Tailoring and evaluating the Wikipedia for in-domain comparable corpora extraction	17
Physics-guided machine learning from simulated data with different physical parameters	17
Fusing graph structural information with pre-trained generative model for knowledge graph-to-text generation	16
Efficient parameter learning for Bayesian Network classifiers following the Apache Spark Dataframes paradigm	16
Collab-RS: semantic recommendation of external collaborators for projects in software ecosystems	16
CKRHE: a hierarchical embedding method for large-scale complex knowledge graphs	16
Dynamic resource orchestration in edge computing environments using multi-agent reinforcement learning	16
Ensembled Bayesian tabular data generator	16
Deep active learning for identifying hate and offensive content in multilingual social media posts	16
Integrated deep learning and blockchain-based framework for cloud manufacturing with improved customer satisfaction	15
Reliable retrieval-augmented feature generation with large language model reasoning	15
A hybrid ontology-based feature selection framework for enhancing predictive accuracy in regression models	15
Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach	15
A study of word embedding models for measuring topic coherence	15
Belief rule-based system with two-stage optimization approach for handling class-imbalance problems	15
Temporal hypergraph motifs	15
Robust-GBDT: leveraging robust loss for noisy and imbalanced classification with GBDT	14
MSBPD: multi-scale contextual semantics enhancement with bidirectional parallel prompt decoding for document-level event extraction	14
Global community deception via a cooperative evolutionary genetic algorithm based on an elite population	14
Leveraging BERT for extractive text summarization on federal police documents	14
Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems	14
Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE	14
Multi-modal sarcasm detection using ensemble net model	14
Joint analysis of citizens’ commuting behaviors: a multi-task deep learning approach	14
C22MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector	14
Logical design of multi-model data warehouses	14
Context-aware heterogeneous graph neural networks with attention-based pooling for long-document summarization	14
Who dominates generative AI? Analyzing user feedback to identify common use cases and areas for improvement in ChatGPT, Copilot and Gemini	14
Generalized few-shot node classification: toward an uncertainty-based solution	13
Enhanced bipolar disorder assessment using novel similarity measures for possibility fuzzy bipolar soft information	13
Unlocking wisdom: enhancing biomedical question answering with domain knowledge	13
Dual neighborhood thresholding patterns based on directional sampling	13
BPF: a novel cluster boundary points detection method for static and streaming data	13
Caption matters: a new perspective for knowledge-based visual question answering	13
Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques	13
A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems	13
Mining temporal attack patterns from cyberthreat intelligence reports	13
Automated database design for document stores with multicriteria optimization	13
Complex Attributed Network Embedding for medical complication prediction	13
Transformer-based feature integration for predictive modeling in multi-source business environments	13
A new way of search query like knowledge graph and its interpretability	13
A hybrid clustering approach for link prediction in heterogeneous information networks	13
Automated biomedical hypothesis generation with time-aware hypergraph contrastive learning	13
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach	13
Enhanced software defect prediction using edge feature and self-attention GAN with pelican optimization	13
Improved score aggregation for authorship verification	12
Enhancing cybersecurity using optimized anti-interference dynamic integral neural network-based intrusion detection system	12
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks	12
Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement	12
Temporal word embedding with predictive capability	12
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19	12
Unified network ensemble and chunk-based feature selection for improved social bot detection	12
Ranking methods for skyline queries	12
User preferences learning with temporal point process and attention model for next POI recommendation	12
Information extraction pipelines for knowledge graphs	12
One-to-many two-sided matching decision of logistics O2O platform considering the intermediary benefit	12
Identifying significant textual features in titles of Google play store applications and their influence on user review rating	12
Light spectral-based graph convolutional networks: optimizing ranking and longtail awareness for e-commerce recommendation systems	12
An overview of aggregation methods for social networks analysis	12
Automated contrastive optimization of class-based feature distribution for noncontinuous dataset	12

A mathematical model of the hidden feedback loop effect in machine learning systems	12
Sarcasm detection using optimized bi-directional long short-term memory	12
GSBC-SNet: a novel graph-aware bidirectional contrastive semantic network for multilabel text classification	12
Emerging AI threats in cybercrime: a review of zero-day attacks via machine, deep, and federated learning	11
Efficient mining of top-K cross-level high utility itemsets on unstable profit databases	11
Situational Data Integration in Question Answering systems: a survey over two decades	11
Mining conflicting opinions from user reviews: a semantic rule-based framework for software requirements engineering	11
Permutation-based multi-objective evolutionary feature selection for high-dimensional data	11
A new multiattribute decision making method based on interval-valued intuitionistic fuzzy values	11
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents	11
Forecasting financial market structure from network features using machine learning	11
Latent side-information dynamic augmentation for incremental recommendation	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
SimGCL: graph contrastive learning by finding homophily in heterophily	11
Leveraging hierarchy-aware diffusion model and knowledge-enhanced contrastive learning for recommendation	11
XLR-KGDD: leveraging LLM and RAG for knowledge graph-based explainable disease diagnosis using multimodal clinical information	11
Contrastive prototype source-free adaptation boosted by inherent data structure	11
Biological big-data sources, problems of storage, computational issues, and applications: a comprehensive review	10
Gated information bottleneck for generalization in sequential environments	10
Quasi-optimal decision trees: bridging greedy heuristics and global optimization	10
Kolmogorov–Arnold neural networks: a representation-theoretic foundation for interpretable deep learning	10
Explaining deep multi-class time series classifiers	10
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment	10
Topic-dependent relation prediction in argument mining: ternary classification	10
Efficient spatiotemporal index for geostreaming data on road networks based on graph hierarchical partition	10
Enumerating all multi-constrained s-t paths on temporal graph	10
CRAS: cross-domain recommendation via aspect-level sentiment extraction	10
Dynamic token pruning for LLMs: leveraging task-specific attention and adaptive thresholds	10
Elastic similarity and distance measures for multivariate time series	10
E-learning app selection multi-criteria group decision-making problem using Einstein operator in linguistic trapezoidal neutrosophic environment	10
A priority-based blockchain transaction packaging algorithm in a cloud-edge-end collaboration computing environment	10
Feature importance measure of a multilayer perceptron based on the presingle-connection layer	10
GWNN-HF: beyond assortativity in graph wavelet neural network	10
Adaptive curvature exploration geometric graph neural network	10
Instruction-tuned generative AI for disability access: a comparative evaluation using cosine similarity	10
Tuning parameters of Apache Spark with Gauss–Pareto-based multi-objective optimization	10
Implicit graph neural network for deep graph transformation	10
Enhancing link prediction through node embedding and ensemble learning	10
Delving deep: DDoS attack resilience through deep learning approaches	10
Analysis and price prediction of cryptocurrencies for historical and live data using ensemble-based neural networks	10
Retroductive reasoning: a data-driven intelligent method for knowledge discovery using cognitive IoT	10
D-TIME: an improved framework for multivariate time series forecasting	10
A survey on ensemble classification methods from the dual perspectives of sampling and learning	10
Owner name entity recognition in websites based on heterogeneous and dynamic graph transformer	10
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering	9
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model	9
Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning	9
LightCapsGNN: light capsule graph neural network for graph classification	9
Feature selection using game Shapley improved grey wolf optimizer for optimizing cancer classification	9
A systematic literature review on sentiment analysis techniques, challenges, and future trends	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
Text augmentation method with adjustable manipulation intensity based on in-context learning	9
Latent mutual feature extraction for cross-domain recommendation	9
Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets	9
ETM-F: an enriched topic modeling and filtration framework integrating ontologies and deep learning for biomedical trend analysis	9
Multi-domain reviews for aspect-based sentimental analysis using multilevel fast point graph transformer network	9
GoSum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state	9
Decoding emotions: a survey of multimodal sentiment analysis in the digital age in artificial intelligence	9
Adaptive hierarchical knowledge distillation from GNNs to MLPs	9
Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems	9
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging	9
Iterative sliding window aggregation for generating length-scale-specific fractal features	9
Accurate data imputation in healthcare with optimized class thresholds using enhanced firefly algorithm	9
Partial-order-based process mining: a survey and outlook	9
GDDRec: graph neural diffusion model for diversified recommendation	9
GANCDE: Neural networks based on graphs and attention neural control differential equations for human activity recognition	9
Distributional constraint discovery for intelligent auditing	9
Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length	9
Comparative analysis of sentence similarity detection using machine and deep learning with vectorization techniques	9
Grier: graph repairing based on iterative embedding and rules	8
Correction: Estimating time series averages from latent space of multi-tasking neural networks	8
Evas: a unified deep learning framework for multi-dimensional evaluation of text summaries	8
Incomplete multi-view clustering via consistent indicator completion	8
ARP spoofing detection using machine learning classifiers: an experimental study	8
Multimodal aspect-based sentiment analysis based on a dual syntactic graph network and joint contrastive learning	8
SecPPAccess: secured privacy protection access control on big data in cloud computing paradigm	8
Estimating time series averages from latent space of multi-tasking neural networks	8
Diversity-enhanced conversational recommendation via multi-agent reinforcement learning	8
Information extraction from electronic medical documents: state of the art and future research directions	8
Class incremental named entity recognition without forgetting	8
Reasoning subevent relation over heterogeneous event graph	8
Noise-tolerant multi-view feature selection	8
Enhancing the performance of deep learning models with fuzzy c-means clustering	8
The significance of Kappa and F-score in clustering ensemble: a comprehensive analysis	8
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning	8
Diff-PIE: an engineering investment estimation model based on transfer learning and risk-aware modeling for EPC projects	8
Efficient word segmentation for enhancing Chinese spelling check in pre-trained language model	8
Fairness in graph-based semi-supervised learning	8
Scalable multi-view subspace clustering with kernel alignment	8
Matching news articles and wikipedia tables for news augmentation	8
Text classification using embeddings: a survey	8
Revolutionising anomaly detection: a hybrid framework for anomaly detection integrating isolation forest, autoencoder, and Conv. LSTM	8
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels	8
An efficient node embedding approach via adaptive graph recurrent autoencoder with attention procedures	8