Knowledge and Information Systems

Papers
(The TQCC of Knowledge and Information Systems is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
MG2Vec+: A multi-headed graph attention network for multigraph embedding284
Feature-blind fairness in collaborative filtering recommender systems239
An efficient rumor detection model based on deep learning and flower pollination algorithm219
An online ensemble classification algorithm for multi-class imbalanced data stream107
Understanding stance classification of BERT models: an attention-based framework94
Truth validation with evidence83
NeuCrowd: neural sampling network for representation learning with crowdsourced labels83
A synthetic over-sampling method with minority and majority classes for imbalance problems82
DQN-PACG: load regulation method based on DQN and multivariate prediction model72
Similarity enhancement of heterogeneous networks by weighted incorporation of information71
Fast data-free model compression via dictionary-pair reconstruction69
A novel image denoising algorithm combining attention mechanism and residual UNet network57
Meta-heuristic endured deep learning model for big data classification: image analytics47
Exploring interest community-based and interesage-powered recommendation scenarios44
AdaCC: cumulative cost-sensitive boosting for imbalanced classification43
An efficient joint framework for interacting knowledge graph and item recommendation43
Graph theory-based mathematical modeling and analysis to predict a football dream team40
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification39
Partially ordered stochastic conformance checking35
A robust adaptive linear regression method for severe noise35
Unifying Faceted Search and Analytics over RDF Knowledge Graphs35
RDPNet: a multi-stage summary generation network for long chat dialogues34
Neural networks for model-free and scale-free automated planning33
GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation32
Entity integrity management under data volume, variety and veracity32
An evidence-based approach for open-domain question answering31
Feature refinement for cross-domain aspect-based sentiment analysis: a contrastive learning and domain alignment perspective31
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks28
Read to grow: exploring metadata of books to make intriguing book recommendations for teenage readers27
Interactive reinforced feature selection with traverse strategy27
Correction: Local soft rough approximations and their applications to conflict analysis problems27
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation27
A transformer-based deep reinforcement learning for the Dial-a-Ride problem26
Navigating beyond backpropagation: on alternative training methods for deep neural networks26
Group decision-making with interval multiplicative preference relations24
A hierarchical attention neural network with multi-view fusion for online course recommendation24
CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs23
Maximal $$\Delta $$-biclique enumeration in temporal bipartite graphs23
Prompting visual dialog with implicit logical knowledge23
Task-oriented and attractor regularized multi-task learning for environmental spatial–temporal time series prediction23
REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection23
KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments22
Improving density peak clustering on multi-dimensional time series: rediscover and subdivide22
Cross-modal associated learning with spatial–temporal attention for hot topic detection22
A template-based approach for question answering over knowledge bases21
Scholarly recommendation systems: a literature survey21
Data management in digital twins: a systematic literature review21
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods21
An efficient deep learning framework for occlusion face prediction system20
JMFEEL-Net: a joint multi-scale feature enhancement and lightweight transformer network for crowd counting20
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms20
SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction19
Perceptive dual-graph semantic integration network for aspect sentiment triplet extraction18
Ensuring the privacy of data in modern healthcare systems using adaptive encryption technique and disease prediction via attention-based residual DenseNet with GRU18
Spectral clustering with scale fairness constraints17
Recommender Systems in Cybersecurity17
Manifold clustering optimized by adaptive aggregation strategy17
Enhancing multimedia document modeling through extended orbit-based rhetorical structure: an approach to media weighting for importance determination17
A proposed real-time decision support platform for Moroccan fixed mining production systems17
Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem17
FZeroTC: fully zero-shot text classification for simultaneously discovering and labeling unseen classes16
Semantic similarity-aware feature selection and redundancy removal for text classification using joint mutual information16
Improving out-of-distribution detection by enforcing confidence margin16
Drug-CoV: a drug-origin knowledge graph discovering drug repurposing targeting COVID-1916
CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data16
A study into patient similarity through representation learning from medical records15
A systematic review on federated learning system: a new paradigm to machine learning15
Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape15
HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG14
Clusterability test for categorical data14
Fast spatial autocorrelation14
Protecting the privacy of social network data using graph correction14
Multiple feature-anisotropic regularization for out-of-domain intent detection14
Physics-guided machine learning from simulated data with different physical parameters14
Twain-GCN: twain-syntax graph convolutional networks for aspect-based sentiment analysis14
Deep learning-empowered intrusion detection framework for the Internet of Medical Things environment14
Collab-RS: semantic recommendation of external collaborators for projects in software ecosystems13
DyLPA: a dynamic label propagation algorithm for detecting evolving communities13
Conversational question answering: a survey13
Label-consistent kernel transform learning-based sparse hashing for cross-modal retrieval13
A new way of search query like knowledge graph and its interpretability13
A generic framework for mining sequences with various interestingness measures in dynamic attributed graphs13
A hybrid clustering approach for link prediction in heterogeneous information networks12
Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach12
Multi-modal sarcasm detection using ensemble net model12
Logical design of multi-model data warehouses11
Bold driver and static restart fused adaptive momentum for visual question answering11
Tailoring and evaluating the Wikipedia for in-domain comparable corpora extraction11
Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering11
Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques11
Efficient stable community search in temporal signed graphs11
Fusing graph structural information with pre-trained generative model for knowledge graph-to-text generation11
A hybrid ontology-based feature selection framework for enhancing predictive accuracy in regression models11
Integrated deep learning and blockchain-based framework for cloud manufacturing with improved customer satisfaction11
Dynamic resource orchestration in edge computing environments using multi-agent reinforcement learning11
Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE11
Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems11
Caption matters: a new perspective for knowledge-based visual question answering10
Mining temporal attack patterns from cyberthreat intelligence reports10
CKRHE: a hierarchical embedding method for large-scale complex knowledge graphs10
Efficient parameter learning for Bayesian Network classifiers following the Apache Spark Dataframes paradigm10
A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems10
Theoretical backgrounds of Boolean reasoning-based binary n-clustering10
Who dominates generative AI? Analyzing user feedback to identify common use cases and areas for improvement in ChatGPT, Copilot and Gemini10
C22MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector10
Unlocking wisdom: enhancing biomedical question answering with domain knowledge10
Temporal hypergraph motifs9
Generalized few-shot node classification: toward an uncertainty-based solution9
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-199
Automated database design for document stores with multicriteria optimization9
Temporal word embedding with predictive capability9
Leveraging BERT for extractive text summarization on federal police documents9
How do I update my model? On the resilience of Predictive Process Monitoring models to change9
Dual neighborhood thresholding patterns based on directional sampling9
Sarcasm detection using optimized bi-directional long short-term memory9
A new multiattribute decision making method based on interval-valued intuitionistic fuzzy values9
Enhanced bipolar disorder assessment using novel similarity measures for possibility fuzzy bipolar soft information9
An overview of aggregation methods for social networks analysis9
Improved score aggregation for authorship verification9
The phantom steering effect in Q&A websites9
Forecasting financial market structure from network features using machine learning8
Identifying significant textual features in titles of Google play store applications and their influence on user review rating8
Enhancing link prediction through node embedding and ensemble learning8
XLR-KGDD: leveraging LLM and RAG for knowledge graph-based explainable disease diagnosis using multimodal clinical information8
Light spectral-based graph convolutional networks: optimizing ranking and longtail awareness for e-commerce recommendation systems8
AETC: an automated pest detection and classification model using optimal integration of Yolo + SSD and adaptive ensemble transfer CNN with IoT-assisted pest images8
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach8
Emerging AI threats in cybercrime: a review of zero-day attacks via machine, deep, and federated learning8
BPF: a novel cluster boundary points detection method for static and streaming data8
GSBC-SNet: a novel graph-aware bidirectional contrastive semantic network for multilabel text classification8
Contrastive prototype source-free adaptation boosted by inherent data structure8
S-RAP: relevance-aware QoS prediction in web-services and user contexts8
Explaining deep multi-class time series classifiers8
A survey on extraction of causal relations from natural language text8
User preferences learning with temporal point process and attention model for next POI recommendation8
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents8
Complex Attributed Network Embedding for medical complication prediction8
One-to-many two-sided matching decision of logistics O2O platform considering the intermediary benefit8
Information extraction pipelines for knowledge graphs8
Analysis and price prediction of cryptocurrencies for historical and live data using ensemble-based neural networks8
Latent side-information dynamic augmentation for incremental recommendation8
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks8
GWNN-HF: beyond assortativity in graph wavelet neural network8
Enhancing cybersecurity using optimized anti-interference dynamic integral neural network-based intrusion detection system8
SimGCL: graph contrastive learning by finding homophily in heterophily8
Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement8
Situational Data Integration in Question Answering systems: a survey over two decades7
Tuning parameters of Apache Spark with Gauss–Pareto-based multi-objective optimization7
Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length7
Fairness in graph-based semi-supervised learning7
Comparative analysis of sentence similarity detection using machine and deep learning with vectorization techniques7
Distributional constraint discovery for intelligent auditing7
Scalable force-directed graph representation learning and visualization7
A priority-based blockchain transaction packaging algorithm in a cloud-edge-end collaboration computing environment7
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment7
Gated information bottleneck for generalization in sequential environments7
Word and graph attention networks for semi-supervised classification7
Adaptive curvature exploration geometric graph neural network7
Latent mutual feature extraction for cross-domain recommendation7
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model7
LightCapsGNN: light capsule graph neural network for graph classification7
Correction: Estimating time series averages from latent space of multi-tasking neural networks7
Efficient word segmentation for enhancing Chinese spelling check in pre-trained language model7
GANCDE: Neural networks based on graphs and attention neural control differential equations for human activity recognition7
Dynamic token pruning for LLMs: leveraging task-specific attention and adaptive thresholds7
Topic-dependent relation prediction in argument mining: ternary classification7
Feature importance measure of a multilayer perceptron based on the presingle-connection layer7
Enumerating all multi-constrained s-t paths on temporal graph7
CRAS: cross-domain recommendation via aspect-level sentiment extraction7
E-learning app selection multi-criteria group decision-making problem using Einstein operator in linguistic trapezoidal neutrosophic environment7
Text augmentation method with adjustable manipulation intensity based on in-context learning7
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging7
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering7
Iterative sliding window aggregation for generating length-scale-specific fractal features7
GDDRec: graph neural diffusion model for diversified recommendation7
Elastic similarity and distance measures for multivariate time series7
Biological big-data sources, problems of storage, computational issues, and applications: a comprehensive review7
Owner name entity recognition in websites based on heterogeneous and dynamic graph transformer7
A hidden challenge of link prediction: which pairs to check?6
Partial-order-based process mining: a survey and outlook6
Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets6
Implicit graph neural network for deep graph transformation6
GoSum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state6
Class incremental named entity recognition without forgetting6
Enhancing the performance of deep learning models with fuzzy c-means clustering6
Context mining and graph queries on giant biomedical knowledge graphs6
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning6
Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems6
Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning6
Diversity-enhanced conversational recommendation via multi-agent reinforcement learning6
Accurate data imputation in healthcare with optimized class thresholds using enhanced firefly algorithm6
ProAID: path-based reasoning for self-attentional disease prediction6
Grier: graph repairing based on iterative embedding and rules6
Visionary: a framework for analysis and visualization of provenance data6
Enhancing molecular property prediction by fusing graph and sequence encoder representations6
The significance of Kappa and F-score in clustering ensemble: a comprehensive analysis6
Information extraction from electronic medical documents: state of the art and future research directions6
A systematic literature review on sentiment analysis techniques, challenges, and future trends6
Adaptive hierarchical knowledge distillation from GNNs to MLPs6
Feature selection using game Shapley improved grey wolf optimizer for optimizing cancer classification6
Online and Customizable Fairness-aware Learning6
Text classification using embeddings: a survey6
Provably accurate and scalable linear classifiers in hyperbolic spaces6
Matching news articles and wikipedia tables for news augmentation6
Probabilistic temporal semantic graph: a holistic framework for event detection in twitter5
Exploring the potential of deep regression model for next-location prediction5
Vector knowledge transfer-driven representation learning for heterogeneous hypernetworks5
An action–reaction influence model relying on OSN user-generated content5
Reasoning subevent relation over heterogeneous event graph5
Domain feature transfer-based multi-domain fake news detection5
Hybrid deep learning and similarity measures for requirements-driven composition of semantic web services5
Modeling and predicting students’ engagement behaviors using mixture Markov models5
Domino drift effect approach for probability estimation of feature drift in high-dimensional data5
ARP spoofing detection using machine learning classifiers: an experimental study5
Sequential uncertainty quantification with contextual tensors for social targeting5
Heterogeneous graph neural network with semantic-aware differential privacy guarantees5
A deep learning-based disease diagnosis with intrusion detection for a secured healthcare system5
GA-based QOS-aware workflow scheduling of deadline tasks in grid computing5
Securing the collective intelligence: a comprehensive review of federated learning security attacks and defensive strategies5
An aviation accidents prediction method based on MTCNN and Bayesian optimization5
Greedy centroid initialization for federated K-means5
TAMTE: topic-attentive multimodal transformer encoder for hashtag recommendation5
A survey on review summarization and sentiment classification5
Estimating time series averages from latent space of multi-tasking neural networks5
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels5
Self-supervised role learning for graph neural networks5
Autonomous graph mining algorithm search with best performance trade-off5
A novel contrastive multi-view framework for heterogeneous graph embedding5
A new fuzzy time series forecasting model based on clustering technique and normal fuzzy function5
Stable and semi-stable sampling approaches for continuously used samples5
Property graph representation learning for node classification5
Taxonomy of deep learning-based intrusion detection system approaches in fog computing: a systematic review5
Oversmoothing alleviation in graph neural networks: a survey and unified view5
Cross-space topological contrastive learning for knowledge graph-aware issue recommendation5
A novel approach for dynamic portfolio management integrating K-means clustering, mean-variance optimization, and reinforcement learning5
FishRNFuseNET: development of heuristic-derived recurrent neural network with feature fusion strategy for fish species classification5
A parameter-free text classification method based on dual compressors5
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach5
SecPPAccess: secured privacy protection access control on big data in cloud computing paradigm5
Multimodal aspect-based sentiment analysis based on a dual syntactic graph network and joint contrastive learning5
Combining self-supervision and privileged information for representation learning from tabular data5
Behavioral insights of adaptive splitting decision trees in evolving data stream classification5
Predicting learning performance using NLP: an exploratory study using two semantic textual similarity methods5
A newly developed multi-strategy optimization algorithm framework based on the adaptive switching approach coupled with grey wolf optimizer5
CG-FHAUI: an efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets5
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