Knowledge and Information Systems

Papers
(The TQCC of Knowledge and Information Systems is 4. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
MG2Vec+: A multi-headed graph attention network for multigraph embedding250
Graph theory-based mathematical modeling and analysis to predict a football dream team217
Feature-blind fairness in collaborative filtering recommender systems194
An efficient rumor detection model based on deep learning and flower pollination algorithm123
An online ensemble classification algorithm for multi-class imbalanced data stream81
Partially ordered stochastic conformance checking80
Tweet-scan-post: a system for analysis of sensitive private data disclosure in online social media70
Understanding stance classification of BERT models: an attention-based framework67
NeuCrowd: neural sampling network for representation learning with crowdsourced labels66
Truth validation with evidence63
DQN-PACG: load regulation method based on DQN and multivariate prediction model59
Similarity enhancement of heterogeneous networks by weighted incorporation of information57
An efficient joint framework for interacting knowledge graph and item recommendation51
A novel image denoising algorithm combining attention mechanism and residual UNet network42
Fast data-free model compression via dictionary-pair reconstruction37
AdaCC: cumulative cost-sensitive boosting for imbalanced classification35
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification33
A synthetic over-sampling method with minority and majority classes for imbalance problems33
Meta-heuristic endured deep learning model for big data classification: image analytics33
An efficient deep learning framework for occlusion face prediction system30
A robust adaptive linear regression method for severe noise30
CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs29
JMFEEL-Net: a joint multi-scale feature enhancement and lightweight transformer network for crowd counting29
Unifying Faceted Search and Analytics over RDF Knowledge Graphs28
A template-based approach for question answering over knowledge bases27
RDPNet: a multi-stage summary generation network for long chat dialogues27
Interactive reinforced feature selection with traverse strategy27
Application of genetic algorithm-based intuitionistic fuzzy weighted c-ordered-means algorithm to cluster analysis26
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods26
Neural networks for model-free and scale-free automated planning25
Entity integrity management under data volume, variety and veracity24
Improving density peak clustering on multi-dimensional time series: rediscover and subdivide23
GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation22
Scholarly recommendation systems: a literature survey22
Group decision-making with interval multiplicative preference relations21
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks21
Cross- and multiple-domains visual transfer learning via iterative Fischer linear discriminant analysis20
Navigating beyond backpropagation: on alternative training methods for deep neural networks19
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation19
KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments19
An evidence-based approach for open-domain question answering19
Prompting visual dialog with implicit logical knowledge18
REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection18
Correction: Local soft rough approximations and their applications to conflict analysis problems18
Read to grow: exploring metadata of books to make intriguing book recommendations for teenage readers17
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms17
Clusterability test for categorical data17
Data management in digital twins: a systematic literature review17
SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction17
A generic framework for mining sequences with various interestingness measures in dynamic attributed graphs16
FZeroTC: fully zero-shot text classification for simultaneously discovering and labeling unseen classes16
Perceptive dual-graph semantic integration network for aspect sentiment triplet extraction16
Recommender Systems in Cybersecurity16
A systematic review on federated learning system: a new paradigm to machine learning16
Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem16
Conversational question answering: a survey16
A study into patient similarity through representation learning from medical records16
Enhancing multimedia document modeling through extended orbit-based rhetorical structure: an approach to media weighting for importance determination15
Spectral clustering with scale fairness constraints15
Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape15
Twain-GCN: twain-syntax graph convolutional networks for aspect-based sentiment analysis14
HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG14
A proposed real-time decision support platform for Moroccan fixed mining production systems14
Fast spatial autocorrelation14
Protecting the privacy of social network data using graph correction14
Manifold clustering optimized by adaptive aggregation strategy14
Drug-CoV: a drug-origin knowledge graph discovering drug repurposing targeting COVID-1914
Improving out-of-distribution detection by enforcing confidence margin13
CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data13
Semantic similarity-aware feature selection and redundancy removal for text classification using joint mutual information13
Physics-guided machine learning from simulated data with different physical parameters13
Deep learning-empowered intrusion detection framework for the Internet of Medical Things environment13
Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques12
Integrated deep learning and blockchain-based framework for cloud manufacturing with improved customer satisfaction12
Caption matters: a new perspective for knowledge-based visual question answering12
Label-consistent kernel transform learning-based sparse hashing for cross-modal retrieval12
Theoretical backgrounds of Boolean reasoning-based binary n-clustering12
Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach11
Leveraging BERT for extractive text summarization on federal police documents11
Bold driver and static restart fused adaptive momentum for visual question answering11
A hybrid clustering approach for link prediction in heterogeneous information networks11
A new way of search query like knowledge graph and its interpretability11
Efficient parameter learning for Bayesian Network classifiers following the Apache Spark Dataframes paradigm11
Multi-modal sarcasm detection using ensemble net model11
Collab-RS: semantic recommendation of external collaborators for projects in software ecosystems11
Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE10
Efficient stable community search in temporal signed graphs10
Unlocking wisdom: enhancing biomedical question answering with domain knowledge10
Temporal hypergraph motifs10
Tailoring and evaluating the Wikipedia for in-domain comparable corpora extraction10
Fusing graph structural information with pre-trained generative model for knowledge graph-to-text generation10
Generalized few-shot node classification: toward an uncertainty-based solution10
Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems10
Logical design of multi-model data warehouses10
Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering9
How do I update my model? On the resilience of Predictive Process Monitoring models to change9
AETC: an automated pest detection and classification model using optimal integration of Yolo + SSD and adaptive ensemble transfer CNN with IoT-assisted pest images9
One-to-many two-sided matching decision of logistics O2O platform considering the intermediary benefit9
Dual neighborhood thresholding patterns based on directional sampling9
A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems9
An overview of aggregation methods for social networks analysis9
Improved score aggregation for authorship verification9
Automated database design for document stores with multicriteria optimization9
C22MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector9
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-199
Forecasting financial market structure from network features using machine learning9
Sarcasm detection using optimized bi-directional long short-term memory9
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents8
A new multiattribute decision making method based on interval-valued intuitionistic fuzzy values8
The phantom steering effect in Q&A websites8
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
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach8
Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement8
Information extraction pipelines for knowledge graphs8
A survey on extraction of causal relations from natural language text8
Complex Attributed Network Embedding for medical complication prediction8
User preferences learning with temporal point process and attention model for next POI recommendation8
Temporal word embedding with predictive capability8
Enhancing cybersecurity using optimized anti-interference dynamic integral neural network-based intrusion detection system8
Identifying significant textual features in titles of Google play store applications and their influence on user review rating8
Feature extraction for chart pattern classification in financial time series8
SimGCL: graph contrastive learning by finding homophily in heterophily8
CRAS: cross-domain recommendation via aspect-level sentiment extraction7
Latent mutual feature extraction for cross-domain recommendation7
Recipe analysis for knowledge discovery of gastronomic dishes7
Feature importance measure of a multilayer perceptron based on the presingle-connection layer7
Gated information bottleneck for generalization in sequential environments7
Elastic similarity and distance measures for multivariate time series7
Analysis and price prediction of cryptocurrencies for historical and live data using ensemble-based neural networks7
Latent side-information dynamic augmentation for incremental recommendation7
Biological big-data sources, problems of storage, computational issues, and applications: a comprehensive review7
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks7
Owner name entity recognition in websites based on heterogeneous and dynamic graph transformer7
Enhancing link prediction through node embedding and ensemble learning7
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering7
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model7
Adaptive curvature exploration geometric graph neural network7
S-RAP: relevance-aware QoS prediction in web-services and user contexts7
GWNN-HF: beyond assortativity in graph wavelet neural network7
Enumerating all multi-constrained s-t paths on temporal graph7
Explaining deep multi-class time series classifiers7
E-learning app selection multi-criteria group decision-making problem using Einstein operator in linguistic trapezoidal neutrosophic environment7
Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length7
OpenWGL: open-world graph learning for unseen class node classification7
Contrastive prototype source-free adaptation boosted by inherent data structure7
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment7
Word and graph attention networks for semi-supervised classification7
Situational Data Integration in Question Answering systems: a survey over two decades7
Tuning parameters of Apache Spark with Gauss–Pareto-based multi-objective optimization7
Distributional constraint discovery for intelligent auditing6
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging6
Efficient word segmentation for enhancing Chinese spelling check in pre-trained language model6
Feature selection using game Shapley improved grey wolf optimizer for optimizing cancer classification6
GDDRec: graph neural diffusion model for diversified recommendation6
GANCDE: Neural networks based on graphs and attention neural control differential equations for human activity recognition6
Iterative sliding window aggregation for generating length-scale-specific fractal features6
Correction: Estimating time series averages from latent space of multi-tasking neural networks6
GoSum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state6
A systematic literature review on sentiment analysis techniques, challenges, and future trends6
Scalable force-directed graph representation learning and visualization6
Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets6
Fairness in graph-based semi-supervised learning6
Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning6
Partial-order-based process mining: a survey and outlook6
Exploring the potential of deep regression model for next-location prediction5
Text classification using embeddings: a survey5
Context mining and graph queries on giant biomedical knowledge graphs5
Self-supervised role learning for graph neural networks5
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning5
ProAID: path-based reasoning for self-attentional disease prediction5
LightCapsGNN: light capsule graph neural network for graph classification5
Matching news articles and wikipedia tables for news augmentation5
Estimating time series averages from latent space of multi-tasking neural networks5
Property graph representation learning for node classification5
Sequential uncertainty quantification with contextual tensors for social targeting5
Modeling and predicting students’ engagement behaviors using mixture Markov models5
ARP spoofing detection using machine learning classifiers: an experimental study5
A hidden challenge of link prediction: which pairs to check?5
Enhancing the performance of deep learning models with fuzzy c-means clustering5
Multimodal aspect-based sentiment analysis based on a dual syntactic graph network and joint contrastive learning5
Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems5
Provably accurate and scalable linear classifiers in hyperbolic spaces5
Text augmentation method with adjustable manipulation intensity based on in-context learning5
A survey on review summarization and sentiment classification5
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach5
Greedy centroid initialization for federated K-means5
Visionary: a framework for analysis and visualization of provenance data5
FishRNFuseNET: development of heuristic-derived recurrent neural network with feature fusion strategy for fish species classification5
The significance of Kappa and F-score in clustering ensemble: a comprehensive analysis5
Class incremental named entity recognition without forgetting5
Grier: graph repairing based on iterative embedding and rules5
Information extraction from electronic medical documents: state of the art and future research directions5
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels5
DORIC: discovering topological relations based on spatial link composition5
A newly developed multi-strategy optimization algorithm framework based on the adaptive switching approach coupled with grey wolf optimizer5
Hybrid deep learning and similarity measures for requirements-driven composition of semantic web services5
Behavioral insights of adaptive splitting decision trees in evolving data stream classification4
Cross-space topological contrastive learning for knowledge graph-aware issue recommendation4
Improvements on approximation algorithms for clustering probabilistic data4
Entropic principal component analysis using Cauchy–Schwarz divergence4
An aviation accidents prediction method based on MTCNN and Bayesian optimization4
A parameter-free text classification method based on dual compressors4
GA-based QOS-aware workflow scheduling of deadline tasks in grid computing4
Privacy protection of user profiles in online search via semantic randomization4
GC-PTransE: multi-step attack inference method based on graph convolutional neural network and translation embedding4
Big data analytics enabled deep convolutional neural network for the diagnosis of cancer4
Learned index for non-key queries4
Predicting learning performance using NLP: an exploratory study using two semantic textual similarity methods4
Using topic-noise models to generate domain-specific topics across data sources4
Fake review detection techniques, issues, and future research directions: a literature review4
Probabilistic temporal semantic graph: a holistic framework for event detection in twitter4
Simple knowledge graph completion model based on PU learning and prompt learning4
A Bayesian hierarchical model for orthogonal Tucker decomposition with oblivious tensor compression4
Taxonomy of deep learning-based intrusion detection system approaches in fog computing: a systematic review4
Securing the collective intelligence: a comprehensive review of federated learning security attacks and defensive strategies4
Reasoning subevent relation over heterogeneous event graph4
Heterogeneous graph neural network with semantic-aware differential privacy guarantees4
Domino drift effect approach for probability estimation of feature drift in high-dimensional data4
Factors influencing open science participation through research data sharing and reuse among researchers: a systematic literature review4
A new hybrid reasoning model based on rules, cases and processes: application to care of individuals facing autism spectrum disorders4
Merkle tree-blockchain-assisted privacy preservation of electronic medical records on offering medical data protection through hybrid heuristic algorithm4
CG-FHAUI: an efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets4
A new fuzzy time series forecasting model based on clustering technique and normal fuzzy function4
A novel contrastive multi-view framework for heterogeneous graph embedding4
Stable and semi-stable sampling approaches for continuously used samples4
Quantum computing and quantum-inspired techniques for feature subset selection: a review4
An action–reaction influence model relying on OSN user-generated content4
Autonomous graph mining algorithm search with best performance trade-off4
A deep learning-based disease diagnosis with intrusion detection for a secured healthcare system4
TAMTE: topic-attentive multimodal transformer encoder for hashtag recommendation4
A prediction model of student performance based on self-attention mechanism4
SEGODE: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction4
Enhancing link prediction in dynamic social networks through hybrid GCN-LSTM models4
Efficient parallel algorithm for finding strongly connected components based on granulation strategy4
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