Knowledge and Information Systems

Papers
(The TQCC of Knowledge and Information Systems is 6. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
MG2Vec+: A multi-headed graph attention network for multigraph embedding338
An online ensemble classification algorithm for multi-class imbalanced data stream311
Understanding stance classification of BERT models: an attention-based framework275
NeuCrowd: neural sampling network for representation learning with crowdsourced labels139
Truth validation with evidence108
DQN-PACG: load regulation method based on DQN and multivariate prediction model104
Fast data-free model compression via dictionary-pair reconstruction96
Partially ordered stochastic conformance checking89
Exploring interest community-based and interesage-powered recommendation scenarios85
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification77
An efficient joint framework for interacting knowledge graph and item recommendation72
An efficient rumor detection model based on deep learning and flower pollination algorithm62
ASRec: adaptive sequential recommendation with dynamic and periodic preferences capturing57
A robust adaptive linear regression method for severe noise55
Feature-blind fairness in collaborative filtering recommender systems55
Graph theory-based mathematical modeling and analysis to predict a football dream team53
Meta-heuristic endured deep learning model for big data classification: image analytics51
Similarity enhancement of heterogeneous networks by weighted incorporation of information51
AdaCC: cumulative cost-sensitive boosting for imbalanced classification47
A synthetic over-sampling method with minority and majority classes for imbalance problems44
A novel image denoising algorithm combining attention mechanism and residual UNet network41
Read to grow: exploring metadata of books to make intriguing book recommendations for teenage readers41
RDPNet: a multi-stage summary generation network for long chat dialogues39
Prompting visual dialog with implicit logical knowledge38
Improving density peak clustering on multi-dimensional time series: rediscover and subdivide37
CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs35
REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection34
Cross-modal associated learning with spatial–temporal attention for hot topic detection33
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks32
KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments32
JMFEEL-Net: a joint multi-scale feature enhancement and lightweight transformer network for crowd counting32
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation30
Entity integrity management under data volume, variety and veracity28
GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation28
An evidence-based approach for open-domain question answering28
Correction: Local soft rough approximations and their applications to conflict analysis problems27
An efficient deep learning framework for occlusion face prediction system27
Maximal $$\Delta $$-biclique enumeration in temporal bipartite graphs27
Efficient apache spark-based approach for a probabilistic entity resolution26
A hierarchical attention neural network with multi-view fusion for online course recommendation26
Feature refinement for cross-domain aspect-based sentiment analysis: a contrastive learning and domain alignment perspective26
Group decision-making with interval multiplicative preference relations26
Task-oriented and attractor regularized multi-task learning for environmental spatial–temporal time series prediction26
Navigating beyond backpropagation: on alternative training methods for deep neural networks26
Scholarly recommendation systems: a literature survey25
A transformer-based deep reinforcement learning for the Dial-a-Ride problem25
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods25
Interactive reinforced feature selection with traverse strategy25
A template-based approach for question answering over knowledge bases24
Unifying Faceted Search and Analytics over RDF Knowledge Graphs24
Data management in digital twins: a systematic literature review24
Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms23
Fast spatial autocorrelation22
Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem22
Perceptive dual-graph semantic integration network for aspect sentiment triplet extraction22
FZeroTC: fully zero-shot text classification for simultaneously discovering and labeling unseen classes22
A generic framework for mining sequences with various interestingness measures in dynamic attributed graphs22
A proposed real-time decision support platform for Moroccan fixed mining production systems22
Improving out-of-distribution detection by enforcing confidence margin22
Multiple feature-anisotropic regularization for out-of-domain intent detection22
Enhancing multimedia document modeling through extended orbit-based rhetorical structure: an approach to media weighting for importance determination21
Manifold clustering optimized by adaptive aggregation strategy20
Protecting the privacy of social network data using graph correction20
Clusterability test for categorical data19
A systematic review on federated learning system: a new paradigm to machine learning19
A study into patient similarity through representation learning from medical records19
Label-consistent kernel transform learning-based sparse hashing for cross-modal retrieval19
Recommender Systems in Cybersecurity19
Twain-GCN: twain-syntax graph convolutional networks for aspect-based sentiment analysis18
SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction18
DyLPA: a dynamic label propagation algorithm for detecting evolving communities18
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
Semantic similarity-aware feature selection and redundancy removal for text classification using joint mutual information17
Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape17
CTVAE: Contrastive Tabular Variational Autoencoder for imbalance data17
Drug-CoV: a drug-origin knowledge graph discovering drug repurposing targeting COVID-1916
Physics-guided machine learning from simulated data with different physical parameters16
Deep learning-empowered intrusion detection framework for the Internet of Medical Things environment16
Conversational question answering: a survey16
Multi-modal sarcasm detection using ensemble net model15
A new way of search query like knowledge graph and its interpretability15
C22MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector15
Collab-RS: semantic recommendation of external collaborators for projects in software ecosystems15
A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems15
Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach15
Unlocking wisdom: enhancing biomedical question answering with domain knowledge14
Efficient stable community search in temporal signed graphs14
Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques14
Tailoring and evaluating the Wikipedia for in-domain comparable corpora extraction14
A hybrid clustering approach for link prediction in heterogeneous information networks14
Efficient parameter learning for Bayesian Network classifiers following the Apache Spark Dataframes paradigm13
Bold driver and static restart fused adaptive momentum for visual question answering13
Logical design of multi-model data warehouses13
Fusing graph structural information with pre-trained generative model for knowledge graph-to-text generation13
Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering13
Caption matters: a new perspective for knowledge-based visual question answering13
CKRHE: a hierarchical embedding method for large-scale complex knowledge graphs13
Leveraging BERT for extractive text summarization on federal police documents13
Mining temporal attack patterns from cyberthreat intelligence reports13
A hybrid ontology-based feature selection framework for enhancing predictive accuracy in regression models12
Theoretical backgrounds of Boolean reasoning-based binary n-clustering12
Dynamic resource orchestration in edge computing environments using multi-agent reinforcement learning12
Who dominates generative AI? Analyzing user feedback to identify common use cases and areas for improvement in ChatGPT, Copilot and Gemini12
Integrated deep learning and blockchain-based framework for cloud manufacturing with improved customer satisfaction12
Robust-GBDT: leveraging robust loss for noisy and imbalanced classification with GBDT12
Temporal hypergraph motifs12
Enhanced bipolar disorder assessment using novel similarity measures for possibility fuzzy bipolar soft information12
Generalized few-shot node classification: toward an uncertainty-based solution12
Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems12
AETC: an automated pest detection and classification model using optimal integration of Yolo + SSD and adaptive ensemble transfer CNN with IoT-assisted pest images11
A new multiattribute decision making method based on interval-valued intuitionistic fuzzy values11
Dual neighborhood thresholding patterns based on directional sampling11
Temporal word embedding with predictive capability11
XLR-KGDD: leveraging LLM and RAG for knowledge graph-based explainable disease diagnosis using multimodal clinical information11
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach11
Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE11
Improved score aggregation for authorship verification11
Automated database design for document stores with multicriteria optimization11
The phantom steering effect in Q&A websites11
A mathematical model of the hidden feedback loop effect in machine learning systems11
How do I update my model? On the resilience of Predictive Process Monitoring models to change11
Sarcasm detection using optimized bi-directional long short-term memory11
Automated contrastive optimization of class-based feature distribution for noncontinuous dataset11
Complex Attributed Network Embedding for medical complication prediction10
BPF: a novel cluster boundary points detection method for static and streaming data10
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-1910
One-to-many two-sided matching decision of logistics O2O platform considering the intermediary benefit10
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents10
Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement10
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks10
SimGCL: graph contrastive learning by finding homophily in heterophily10
Light spectral-based graph convolutional networks: optimizing ranking and longtail awareness for e-commerce recommendation systems10
Enhancing cybersecurity using optimized anti-interference dynamic integral neural network-based intrusion detection system10
An overview of aggregation methods for social networks analysis10
Contrastive prototype source-free adaptation boosted by inherent data structure10
Tuning parameters of Apache Spark with Gauss–Pareto-based multi-objective optimization10
Enhanced software defect prediction using edge feature and self-attention GAN with pelican optimization10
Identifying significant textual features in titles of Google play store applications and their influence on user review rating10
Emerging AI threats in cybercrime: a review of zero-day attacks via machine, deep, and federated learning10
User preferences learning with temporal point process and attention model for next POI recommendation10
GSBC-SNet: a novel graph-aware bidirectional contrastive semantic network for multilabel text classification10
Forecasting financial market structure from network features using machine learning10
Latent side-information dynamic augmentation for incremental recommendation10
A survey on extraction of causal relations from natural language text10
Information extraction pipelines for knowledge graphs10
Explaining deep multi-class time series classifiers9
E-learning app selection multi-criteria group decision-making problem using Einstein operator in linguistic trapezoidal neutrosophic environment9
CRAS: cross-domain recommendation via aspect-level sentiment extraction9
Topic-dependent relation prediction in argument mining: ternary classification9
Efficient spatiotemporal index for geostreaming data on road networks based on graph hierarchical partition9
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment9
Instruction-tuned generative AI for disability access: a comparative evaluation using cosine similarity9
Gated information bottleneck for generalization in sequential environments9
A priority-based blockchain transaction packaging algorithm in a cloud-edge-end collaboration computing environment9
GWNN-HF: beyond assortativity in graph wavelet neural network9
Adaptive curvature exploration geometric graph neural network9
S-RAP: relevance-aware QoS prediction in web-services and user contexts9
Enhancing link prediction through node embedding and ensemble learning9
Enumerating all multi-constrained s-t paths on temporal graph9
Situational Data Integration in Question Answering systems: a survey over two decades9
Owner name entity recognition in websites based on heterogeneous and dynamic graph transformer9
Feature importance measure of a multilayer perceptron based on the presingle-connection layer9
Analysis and price prediction of cryptocurrencies for historical and live data using ensemble-based neural networks9
A survey on ensemble classification methods from the dual perspectives of sampling and learning9
Iterative sliding window aggregation for generating length-scale-specific fractal features8
Text augmentation method with adjustable manipulation intensity based on in-context learning8
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model8
LightCapsGNN: light capsule graph neural network for graph classification8
Efficient word segmentation for enhancing Chinese spelling check in pre-trained language model8
Adaptive hierarchical knowledge distillation from GNNs to MLPs8
Implicit graph neural network for deep graph transformation8
Biological big-data sources, problems of storage, computational issues, and applications: a comprehensive review8
GDDRec: graph neural diffusion model for diversified recommendation8
Online and Customizable Fairness-aware Learning8
ETM-F: an enriched topic modeling and filtration framework integrating ontologies and deep learning for biomedical trend analysis8
Correction: Estimating time series averages from latent space of multi-tasking neural networks8
Diversity-enhanced conversational recommendation via multi-agent reinforcement learning8
Accurate data imputation in healthcare with optimized class thresholds using enhanced firefly algorithm8
Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets8
Comparative analysis of sentence similarity detection using machine and deep learning with vectorization techniques8
GANCDE: Neural networks based on graphs and attention neural control differential equations for human activity recognition8
Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length8
Elastic similarity and distance measures for multivariate time series8
Dynamic token pruning for LLMs: leveraging task-specific attention and adaptive thresholds8
Latent mutual feature extraction for cross-domain recommendation8
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging8
Information extraction from electronic medical documents: state of the art and future research directions8
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering8
Feature selection using game Shapley improved grey wolf optimizer for optimizing cancer classification8
Distributional constraint discovery for intelligent auditing8
Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning8
GoSum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state8
Scalable force-directed graph representation learning and visualization8
Fairness in graph-based semi-supervised learning8
Retroductive reasoning: a data-driven intelligent method for knowledge discovery using cognitive IoT8
Delving deep: DDoS attack resilience through deep learning approaches8
Partial-order-based process mining: a survey and outlook8
Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems8
The significance of Kappa and F-score in clustering ensemble: a comprehensive analysis7
Context mining and graph queries on giant biomedical knowledge graphs7
Visionary: a framework for analysis and visualization of provenance data7
A systematic literature review on sentiment analysis techniques, challenges, and future trends7
Diff-PIE: an engineering investment estimation model based on transfer learning and risk-aware modeling for EPC projects7
Modeling and predicting students’ engagement behaviors using mixture Markov models7
A survey on review summarization and sentiment classification7
Domain feature transfer-based multi-domain fake news detection7
Autonomous graph mining algorithm search with best performance trade-off7
Enhancing the performance of deep learning models with fuzzy c-means clustering7
Enhancing molecular property prediction by fusing graph and sequence encoder representations7
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels7
Joint entropy minimization-based statistical dependency for deep multi-view clustering7
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning7
SecPPAccess: secured privacy protection access control on big data in cloud computing paradigm7
Grier: graph repairing based on iterative embedding and rules7
Matching news articles and wikipedia tables for news augmentation7
Scalable multi-view subspace clustering with kernel alignment7
A novel contrastive multi-view framework for heterogeneous graph embedding7
Exploring the potential of deep regression model for next-location prediction7
Combining self-supervision and privileged information for representation learning from tabular data7
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach7
ARP spoofing detection using machine learning classifiers: an experimental study7
Self-supervised role learning for graph neural networks7
Reasoning subevent relation over heterogeneous event graph7
Revolutionising anomaly detection: a hybrid framework for anomaly detection integrating isolation forest, autoencoder, and Conv. LSTM7
Provably accurate and scalable linear classifiers in hyperbolic spaces7
Multimodal aspect-based sentiment analysis based on a dual syntactic graph network and joint contrastive learning7
Class incremental named entity recognition without forgetting7
A hidden challenge of link prediction: which pairs to check?7
An action–reaction influence model relying on OSN user-generated content7
Sequential uncertainty quantification with contextual tensors for social targeting7
TAMTE: topic-attentive multimodal transformer encoder for hashtag recommendation7
FishRNFuseNET: development of heuristic-derived recurrent neural network with feature fusion strategy for fish species classification7
Hybrid deep learning and similarity measures for requirements-driven composition of semantic web services7
Estimating time series averages from latent space of multi-tasking neural networks7
Text classification using embeddings: a survey7
An efficient node embedding approach via adaptive graph recurrent autoencoder with attention procedures7
Enhancing link prediction in dynamic social networks through hybrid GCN-LSTM models6
Heterogeneous graph neural network with semantic-aware differential privacy guarantees6
Imbalance class problem : an analytical mapping using spreadsheet, VOSviewer, and large language models6
Recurrent-optimized user association representation for multi-target cross-domain sequential recommendation6
A new privacy-preserving approach for publishing periodical reporting systems data6
Fake review detection techniques, issues, and future research directions: a literature review6
SEGODE: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction6
Behavioral insights of adaptive splitting decision trees in evolving data stream classification6
LINDAS: a learned approach to index algorithm selection6
AI-driven road traffic management: a comprehensive review of outlier detection techniques and challenges6
Learning to rank under uncertainty: a robust neural approach6
Entropic principal component analysis using Cauchy–Schwarz divergence6
Simple knowledge graph completion model based on PU learning and prompt learning6
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