World Wide Web-Internet and Web Information Systems

Papers
(The TQCC of World Wide Web-Internet and Web 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 2020-10-01 to 2024-10-01.)
ArticleCitations
Multi-center federated learning: clients clustering for better personalization86
LSH-aware multitype health data prediction with privacy preservation in edge environment81
Sentiment analysis and topic modeling for COVID-19 vaccine discussions75
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media66
DDoS attacks in IoT networks: a comprehensive systematic literature review59
A Bi-GRU with attention and CapsNet hybrid model for cyberbullying detection on social media47
Attentive sequential model based on graph neural network for next poi recommendation47
Edge-cloud-enabled matrix factorization for diversified APIs recommendation in mashup creation46
Deep fusion of multimodal features for social media retweet time prediction44
High-order nonlocal Hashing for unsupervised cross-modal retrieval43
Vulnerability exploitation time prediction: an integrated framework for dynamic imbalanced learning43
A knowledge graph empowered online learning framework for access control decision-making42
DIMA: Distributed cooperative microservice caching for internet of things in edge computing by deep reinforcement learning40
A novel knowledge graph embedding based API recommendation method for Mashup development40
Distributed attribute-based access control system using permissioned blockchain38
Link prediction in complex networks using node centrality and light gradient boosting machine29
TransO: a knowledge-driven representation learning method with ontology information constraints28
Long short-term enhanced memory for sequential recommendation26
ModalNet: an aspect-level sentiment classification model by exploring multimodal data with fusion discriminant attentional network26
Persistent graph stream summarization for real-time graph analytics24
CSR: A community based spreaders ranking algorithm for influence maximization in social networks23
A hybrid approach for stock trend prediction based on tweets embedding and historical prices22
Reinforced KGs reasoning for explainable sequential recommendation21
A survey of typical attributed graph queries21
Clustering-enhanced stock price prediction using deep learning21
Task offloading for vehicular edge computing with edge-cloud cooperation21
Auxiliary signal-guided knowledge encoder-decoder for medical report generation21
Leaning compact and representative features for cross-modality person re-identification20
Binarized graph neural network19
IBE-BCIOT: an IBE based cross-chain communication mechanism of blockchain in IoT19
Exploiting intra- and inter-session dependencies for session-based recommendations17
Joint optimization of delay and cost for microservice composition in mobile edge computing17
Explainable recommendation: when design meets trust calibration17
Path-enhanced explainable recommendation with knowledge graphs17
On prediction of traffic flows in smart cities: a multitask deep learning based approach16
Towards understanding governance tokens in liquidity mining: a case study of decentralized exchanges16
FedAda: Fast-convergent adaptive federated learning in heterogeneous mobile edge computing environment16
A survey on nature-inspired techniques for computation offloading and service placement in emerging edge technologies15
HWOA: an intelligent hybrid whale optimization algorithm for multi-objective task selection strategy in edge cloud computing system15
Solutions for concurrency conflict problem on Hyperledger Fabric15
Efficient critical relationships identification in bipartite networks15
Open-world knowledge graph completion with multiple interaction attention15
Community-based influence maximization in location-based social network15
PriMonitor: An adaptive tuning privacy-preserving approach for multimodal emotion detection14
Efficient continual cohesive subgraph search in large temporal graphs14
Decentralized collaborative business process execution using blockchain13
Polarity-based graph neural network for sign prediction in signed bipartite graphs13
Towards an attestation architecture for blockchain networks13
Patent2Vec: Multi-view representation learning on patent-graphs for patent classification13
GoMIC: Multi-view image clustering via self-supervised contrastive heterogeneous graph co-learning13
Semantic-aware heterogeneous information network embedding with incompatible meta-paths12
Core decomposition and maintenance in weighted graph12
Activity location inference of users based on social relationship12
Temporal high-order proximity aware behavior analysis on Ethereum12
Data privacy preservation algorithm with k-anonymity12
Contextual semantic embeddings for ontology subsumption prediction11
Powerful graph of graphs neural network for structured entity analysis11
Towards multi-dimensional knowledge-aware approach for effective community detection in LBSN11
Conspiracy vs science: A large-scale analysis of online discussion cascades11
Multi-type factors representation learning for deep learning-based knowledge tracing11
DPNLP: distance based peripheral nodes label propagation algorithm for community detection in social networks11
Aspect-based sentiment analysis for online reviews with hybrid attention networks11
A distributed learning based sentiment analysis methods with Web applications10
Guest editorial: WWWJ special issue of the 21th international Conference on Web Information Systems Engineering (WISE 2020)10
CrowdMed-II: a blockchain-based framework for efficient consent management in health data sharing10
Time-optimal and privacy preserving route planning for carpool policy10
Leveraging statistical information in fine-grained financial sentiment analysis10
HOPE: a hybrid deep neural model for out-of-town next POI recommendation10
Course map learning with graph convolutional network based on AuCM10
A block-based generative model for attributed network embedding10
Memory-augmented meta-learning framework for session-based target behavior recommendation10
Robust self-tuning multi-view clustering10
Attribute-aware explainable complementary clothing recommendation10
Using context information to enhance simple question answering10
Discovering key users for defending network structural stability9
The art of characterization in large networks: Finding the critical attributes9
Semantic-guided hashing learning for domain adaptive retrieval9
Bipartite graph capsule network9
Implicit relation-aware social recommendation with variational auto-encoder9
bi-directional Bayesian probabilistic model based hybrid grained semantic matchmaking for Web service discovery9
A fairness-aware multi-stakeholder recommender system9
An edge-assisted cloud framework using a residual concatenate FCN approach to beam correction in the internet of weather radars9
Intra- and inter-association attention network-enhanced policy learning for social group recommendation8
Attention-based hierarchical denoised deep clustering network8
Deep medical cross-modal attention hashing8
Efficient maintenance for maximal bicliques in bipartite graph streams8
Leveraging pointwise prediction with learning to rank for top-N recommendation8
Multi-task hourglass network for online automatic diagnosis of developmental dysplasia of the hip8
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation8
Super-resolution-based part collaboration network for vehicle re-identification8
Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world8
A multi-attribute decision making approach based on information extraction for real estate buyer profiling8
A novel feature-based framework enabling multi-type DDoS attacks detection7
FTMF: Few-shot temporal knowledge graph completion based on meta-optimization and fault-tolerant mechanism7
Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks7
Enhancing decision-making in user-centered web development: a methodology for card-sorting analysis7
HOPLoP: multi-hop link prediction over knowledge graph embeddings7
A lightweight automatic sleep staging method for children using single-channel EEG based on edge artificial intelligence7
Charge prediction modeling with interpretation enhancement driven by double-layer criminal system7
SSLE: A framework for evaluating the “Filter Bubble” effect on the news aggregator and recommenders7
Contrastive heterogeneous graphs learning for multi-hop machine reading comprehension7
PDA-GNN: propagation-depth-aware graph neural networks for recommendation7
McHa: a multistage clustering-based hierarchical attention model for knowledge graph-aware recommendation7
FPGNN: Fair path graph neural network for mitigating discrimination7
Sparse relation prediction based on hypergraph neural networks in online social networks6
When large language models meet personalization: perspectives of challenges and opportunities6
Multi-granularity interaction model based on pinyins and radicals for Chinese semantic matching6
CoTask: Correlation-aware task offloading in edge computing6
To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs6
Fast datalog evaluation for batch and stream graph processing6
A fast local community detection algorithm in complex networks6
Locating pivotal connections: the K-Truss minimization and maximization problems6
Influence-Aware Successive Point-of-Interest Recommendation6
Cyclic label propagation for graph semi-supervised learning6
BotFinder: a novel framework for social bots detection in online social networks based on graph embedding and community detection6
Critical Nodes Identification in Large Networks: The Inclined and Detached Models6
GSIRec: Learning with graph side information for recommendation6
Multi-source and heterogeneous marine hydrometeorology spatio-temporal data analysis with machine learning: a survey6
Aspect-level sentiment capsule network for micro-video click-through rate prediction6
ELIS++: a shapelet learning approach for accurate and efficient time series classification6
CDAML: a cluster-based domain adaptive meta-learning model for cross domain recommendation6
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