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 2021-07-01 to 2025-07-01.)
ArticleCitations
MG2Vec+: A multi-headed graph attention network for multigraph embedding272
Feature-blind fairness in collaborative filtering recommender systems249
An efficient rumor detection model based on deep learning and flower pollination algorithm219
An online ensemble classification algorithm for multi-class imbalanced data stream168
Understanding stance classification of BERT models: an attention-based framework90
Partially ordered stochastic conformance checking90
NeuCrowd: neural sampling network for representation learning with crowdsourced labels75
Truth validation with evidence75
A synthetic over-sampling method with minority and majority classes for imbalance problems74
Graph theory-based mathematical modeling and analysis to predict a football dream team71
DQN-PACG: load regulation method based on DQN and multivariate prediction model64
Similarity enhancement of heterogeneous networks by weighted incorporation of information63
An efficient joint framework for interacting knowledge graph and item recommendation53
Fast data-free model compression via dictionary-pair reconstruction47
Meta-heuristic endured deep learning model for big data classification: image analytics40
Tweet-scan-post: a system for analysis of sensitive private data disclosure in online social media39
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification36
A novel image denoising algorithm combining attention mechanism and residual UNet network35
A robust adaptive linear regression method for severe noise35
AdaCC: cumulative cost-sensitive boosting for imbalanced classification33
An efficient deep learning framework for occlusion face prediction system31
Unifying Faceted Search and Analytics over RDF Knowledge Graphs30
JMFEEL-Net: a joint multi-scale feature enhancement and lightweight transformer network for crowd counting30
Interactive reinforced feature selection with traverse strategy29
RDPNet: a multi-stage summary generation network for long chat dialogues29
Entity integrity management under data volume, variety and veracity28
Neural networks for model-free and scale-free automated planning28
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks27
GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation27
Group decision-making with interval multiplicative preference relations26
Cross- and multiple-domains visual transfer learning via iterative Fischer linear discriminant analysis26
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods25
An evidence-based approach for open-domain question answering25
Correction: Local soft rough approximations and their applications to conflict analysis problems24
Feature refinement for cross-domain aspect-based sentiment analysis: a contrastive learning and domain alignment perspective24
Read to grow: exploring metadata of books to make intriguing book recommendations for teenage readers23
A transformer-based deep reinforcement learning for the Dial-a-Ride problem23
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation22
Navigating beyond backpropagation: on alternative training methods for deep neural networks22
A hierarchical attention neural network with multi-view fusion for online course recommendation21
REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection21
Prompting visual dialog with implicit logical knowledge20
Cross-modal associated learning with spatial–temporal attention for hot topic detection20
A template-based approach for question answering over knowledge bases19
Task-oriented and attractor regularized multi-task learning for environmental spatial–temporal time series prediction19
Scholarly recommendation systems: a literature survey18
KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments18
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms18
Improving density peak clustering on multi-dimensional time series: rediscover and subdivide18
Data management in digital twins: a systematic literature review18
CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs18
Label-consistent kernel transform learning-based sparse hashing for cross-modal retrieval17
Perceptive dual-graph semantic integration network for aspect sentiment triplet extraction17
A generic framework for mining sequences with various interestingness measures in dynamic attributed graphs17
SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction17
Ensuring the privacy of data in modern healthcare systems using adaptive encryption technique and disease prediction via attention-based residual DenseNet with GRU17
HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG17
Enhancing multimedia document modeling through extended orbit-based rhetorical structure: an approach to media weighting for importance determination16
Manifold clustering optimized by adaptive aggregation strategy16
Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem16
Twain-GCN: twain-syntax graph convolutional networks for aspect-based sentiment analysis16
Spectral clustering with scale fairness constraints16
A proposed real-time decision support platform for Moroccan fixed mining production systems16
CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data15
Semantic similarity-aware feature selection and redundancy removal for text classification using joint mutual information15
Improving out-of-distribution detection by enforcing confidence margin14
Multiple feature-anisotropic regularization for out-of-domain intent detection14
Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape14
Recommender Systems in Cybersecurity14
Clusterability test for categorical data14
Protecting the privacy of social network data using graph correction14
A systematic review on federated learning system: a new paradigm to machine learning13
A study into patient similarity through representation learning from medical records13
FZeroTC: fully zero-shot text classification for simultaneously discovering and labeling unseen classes13
Conversational question answering: a survey13
Drug-CoV: a drug-origin knowledge graph discovering drug repurposing targeting COVID-1913
Deep learning-empowered intrusion detection framework for the Internet of Medical Things environment13
Physics-guided machine learning from simulated data with different physical parameters12
Fast spatial autocorrelation12
Collab-RS: semantic recommendation of external collaborators for projects in software ecosystems11
Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques11
Multi-modal sarcasm detection using ensemble net model11
Theoretical backgrounds of Boolean reasoning-based binary n-clustering11
Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach11
A new way of search query like knowledge graph and its interpretability11
Caption matters: a new perspective for knowledge-based visual question answering11
A hybrid clustering approach for link prediction in heterogeneous information networks11
Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems10
Bold driver and static restart fused adaptive momentum for visual question answering10
C22MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector10
Integrated deep learning and blockchain-based framework for cloud manufacturing with improved customer satisfaction10
Tailoring and evaluating the Wikipedia for in-domain comparable corpora extraction10
A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems10
Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering10
Logical design of multi-model data warehouses10
Unlocking wisdom: enhancing biomedical question answering with domain knowledge10
CKRHE: a hierarchical embedding method for large-scale complex knowledge graphs10
Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE10
Generalized few-shot node classification: toward an uncertainty-based solution9
Temporal hypergraph motifs9
Efficient parameter learning for Bayesian Network classifiers following the Apache Spark Dataframes paradigm9
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-199
Improved score aggregation for authorship verification9
Efficient stable community search in temporal signed graphs9
Dynamic resource orchestration in edge computing environments using multi-agent reinforcement learning9
Leveraging BERT for extractive text summarization on federal police documents9
AETC: an automated pest detection and classification model using optimal integration of Yolo + SSD and adaptive ensemble transfer CNN with IoT-assisted pest images9
Automated database design for document stores with multicriteria optimization9
Fusing graph structural information with pre-trained generative model for knowledge graph-to-text generation9
A hybrid ontology-based feature selection framework for enhancing predictive accuracy in regression models9
An overview of aggregation methods for social networks analysis9
Dual neighborhood thresholding patterns based on directional sampling9
How do I update my model? On the resilience of Predictive Process Monitoring models to change9
BPF: a novel cluster boundary points detection method for static and streaming data8
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents8
A survey on extraction of causal relations from natural language text8
One-to-many two-sided matching decision of logistics O2O platform considering the intermediary benefit8
Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement8
A new multiattribute decision making method based on interval-valued intuitionistic fuzzy values8
SimGCL: graph contrastive learning by finding homophily in heterophily8
XLR-KGDD: leveraging LLM and RAG for knowledge graph-based explainable disease diagnosis using multimodal clinical information8
User preferences learning with temporal point process and attention model for next POI recommendation8
Information extraction pipelines for knowledge graphs8
The phantom steering effect in Q&A websites8
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach8
GSBC-SNet: a novel graph-aware bidirectional contrastive semantic network for multilabel text classification8
Identifying significant textual features in titles of Google play store applications and their influence on user review rating8
Enhancing cybersecurity using optimized anti-interference dynamic integral neural network-based intrusion detection system8
Complex Attributed Network Embedding for medical complication prediction8
Sarcasm detection using optimized bi-directional long short-term memory8
Temporal word embedding with predictive capability8
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment7
Word and graph attention networks for semi-supervised classification7
Owner name entity recognition in websites based on heterogeneous and dynamic graph transformer7
Forecasting financial market structure from network features using machine learning7
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
Gated information bottleneck for generalization in sequential environments7
Dynamic token pruning for LLMs: leveraging task-specific attention and adaptive thresholds7
OpenWGL: open-world graph learning for unseen class node classification7
Tuning parameters of Apache Spark with Gauss–Pareto-based multi-objective optimization7
Latent side-information dynamic augmentation for incremental recommendation7
Explaining deep multi-class time series classifiers7
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks7
Enhancing link prediction through node embedding and ensemble learning7
E-learning app selection multi-criteria group decision-making problem using Einstein operator in linguistic trapezoidal neutrosophic environment7
Situational Data Integration in Question Answering systems: a survey over two decades7
A priority-based blockchain transaction packaging algorithm in a cloud-edge-end collaboration computing environment7
Biological big-data sources, problems of storage, computational issues, and applications: a comprehensive review7
S-RAP: relevance-aware QoS prediction in web-services and user contexts7
GWNN-HF: beyond assortativity in graph wavelet neural network7
CRAS: cross-domain recommendation via aspect-level sentiment extraction7
Enumerating all multi-constrained s-t paths on temporal graph7
Contrastive prototype source-free adaptation boosted by inherent data structure7
Feature importance measure of a multilayer perceptron based on the presingle-connection layer7
Latent mutual feature extraction for cross-domain recommendation7
Adaptive curvature exploration geometric graph neural network7
Efficient word segmentation for enhancing Chinese spelling check in pre-trained language model6
GDDRec: graph neural diffusion model for diversified recommendation6
Partial-order-based process mining: a survey and outlook6
GoSum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state6
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering6
Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning6
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model6
Implicit graph neural network for deep graph transformation6
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging6
Distributional constraint discovery for intelligent auditing6
Correction: Estimating time series averages from latent space of multi-tasking neural networks6
Scalable force-directed graph representation learning and visualization6
A systematic literature review on sentiment analysis techniques, challenges, and future trends6
Text augmentation method with adjustable manipulation intensity based on in-context learning6
Diversity-enhanced conversational recommendation via multi-agent reinforcement learning6
Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length6
Information extraction from electronic medical documents: state of the art and future research directions6
Iterative sliding window aggregation for generating length-scale-specific fractal features6
Feature selection using game Shapley improved grey wolf optimizer for optimizing cancer classification6
Accurate data imputation in healthcare with optimized class thresholds using enhanced firefly algorithm6
Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets6
Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems6
Fairness in graph-based semi-supervised learning6
Adaptive hierarchical knowledge distillation from GNNs to MLPs6
GANCDE: Neural networks based on graphs and attention neural control differential equations for human activity recognition6
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning5
Class incremental named entity recognition without forgetting5
LightCapsGNN: light capsule graph neural network for graph classification5
ProAID: path-based reasoning for self-attentional disease prediction5
Probabilistic temporal semantic graph: a holistic framework for event detection in twitter5
Vector knowledge transfer-driven representation learning for heterogeneous hypernetworks5
GA-based QOS-aware workflow scheduling of deadline tasks in grid computing5
Reasoning subevent relation over heterogeneous event graph5
Modeling and predicting students’ engagement behaviors using mixture Markov models5
ARP spoofing detection using machine learning classifiers: an experimental study5
Visionary: a framework for analysis and visualization of provenance data5
Provably accurate and scalable linear classifiers in hyperbolic spaces5
The significance of Kappa and F-score in clustering ensemble: a comprehensive analysis5
Matching news articles and wikipedia tables for news augmentation5
A hidden challenge of link prediction: which pairs to check?5
Enhancing molecular property prediction by fusing graph and sequence encoder representations5
Securing the collective intelligence: a comprehensive review of federated learning security attacks and defensive strategies5
TAMTE: topic-attentive multimodal transformer encoder for hashtag recommendation5
An aviation accidents prediction method based on MTCNN and Bayesian optimization5
Hybrid deep learning and similarity measures for requirements-driven composition of semantic web services5
Enhancing the performance of deep learning models with fuzzy c-means clustering5
Greedy centroid initialization for federated K-means5
Self-supervised role learning for graph neural networks5
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels5
Multimodal aspect-based sentiment analysis based on a dual syntactic graph network and joint contrastive learning5
Grier: graph repairing based on iterative embedding and rules5
Context mining and graph queries on giant biomedical knowledge graphs5
Text classification using embeddings: a survey5
Domino drift effect approach for probability estimation of feature drift in high-dimensional data5
A newly developed multi-strategy optimization algorithm framework based on the adaptive switching approach coupled with grey wolf optimizer5
Privacy protection of user profiles in online search via semantic randomization5
Estimating time series averages from latent space of multi-tasking neural networks5
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
Autonomous graph mining algorithm search with best performance trade-off5
DORIC: discovering topological relations based on spatial link composition5
Cost-sensitive learning using logical analysis of data4
Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification4
A residual utility-based concept for high-utility itemset mining4
Merkle tree-blockchain-assisted privacy preservation of electronic medical records on offering medical data protection through hybrid heuristic algorithm4
GC-PTransE: multi-step attack inference method based on graph convolutional neural network and translation embedding4
A new privacy-preserving approach for publishing periodical reporting systems data4
SkSpO-L2TDBM: optimized drug name recognition using a large language-based time-distributed deep learning model4
LLM examiner: automating assessment in informal self-directed e-learning using ChatGPT4
A parameter-free text classification method based on dual compressors4
Entropic principal component analysis using Cauchy–Schwarz divergence4
Atom search optimization: a systematic review of current variants and applications4
HMNE: link prediction using hypergraph motifs and network embedding in social networks4
Distributed probabilistic top-k dominating queries over uncertain databases4
Fake review detection techniques, issues, and future research directions: a literature review4
A new hybrid reasoning model based on rules, cases and processes: application to care of individuals facing autism spectrum disorders4
SEGODE: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction4
Enhancing large language models: alleviating knowledge deficiency with external knowledge and semantically aware reasoning (SAR)4
Recurrent-optimized user association representation for multi-target cross-domain sequential recommendation4
Improvements on approximation algorithms for clustering probabilistic data4
AI-driven road traffic management: a comprehensive review of outlier detection techniques and challenges4
Enhancing link prediction in dynamic social networks through hybrid GCN-LSTM models4
Noise-aware celestial clustering for hot topic detection from microblog datasets with not well-separated topics4
MFS-SubSC: an efficient algorithm for mining frequent sequences with sub-sequence constraint4
Imputing sentiment intensity for SaaS service quality aspects using T-nearest neighbors with correlation-weighted Euclidean distance4
A prediction model of student performance based on self-attention mechanism4
Using topic-noise models to generate domain-specific topics across data sources4
Efficient parallel algorithm for finding strongly connected components based on granulation strategy4
Factors influencing open science participation through research data sharing and reuse among researchers: a systematic literature review4
Falcon: lightweight and accurate convolution based on depthwise separable convolution4
Domain feature transfer-based multi-domain fake news detection4
FishRNFuseNET: development of heuristic-derived recurrent neural network with feature fusion strategy for fish species classification4
Learned index for non-key queries4
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