World Wide Web-Internet and Web Information Systems

Papers
(The median citation count of World Wide Web-Internet and Web Information Systems is 3. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
LD-RPQB: a benchmark for regular path queries based on length distribution313
C2DP: CLIP-conditioned knowledge distillation for membership inference privacy protection285
Preface to the special issue on the Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWeb-WAIM) 2021264
Soft dimensionality reduction for reinforcement data clustering198
DeepApp: characterizing dynamic user interests for mobile application recommendation103
An effective method for the protection of user health topic privacy for health information services71
Discovering time series motifs of all lengths using dynamic time warping41
Efficient continuous kNN join over dynamic high-dimensional data37
Multi-stage dynamic disinformation detection with graph entropy guidance33
An empirical study of pre-trained language models in simple knowledge graph question answering32
Robust website fingerprinting through resource loading sequence28
Hierarchical adaptive evolution framework for privacy-preserving data publishing27
Graph-aware collaborative reasoning for click-through rate prediction26
Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning26
GC-TripRec: Graph contextualized generative network with adversarial learning for trip recommendation26
Graph attention network based detection of causality for textual emotion-cause pair26
Entity alignment via graph neural networks: a component-level study26
Unveiling the impact of employee-customer familiarity on customer purchase intentions: an empirical investigation within the realm of web-based date analytics25
Hypernetwork-driven centralized contrastive learning for federated graph classification22
Community aware graph embedding learning for item recommendation22
TiDGRec: dual-graph modeling with target-intention filtering for session-based recommendation21
Generalizable inductive relation prediction with causal subgraph20
Category-aware self-supervised graph neural network for session-based recommendation19
MACT: A multi-channel anonymous consensus based on Tor19
Recommendation and explanation in road safety: a holistic exploration of multifaceted road risk18
An efficient knowledge graph storage framework with adaptive query processing and online updating18
GroupMO: a memory-augmented meta-optimized model for group recommendation18
Aspect sentiment quadruple extraction based on the sentence-guided grid tagging scheme18
Chunk-oriented dimension ordering for efficient range query processing on sparse multidimensional data18
Bridging distribution gaps: invariant pattern discovery for dynamic graph learning17
HGNN-ETA: Heterogeneous graph neural network enriched with text attribute16
SSDLog: a semi-supervised dual branch model for log anomaly detection16
Distributed processing of spatiotemporal ocean data: a survey16
Causal integration in graph neural networks toward enhanced classification: benchmarking and advancements for robust performance16
Curriculum-scheduled knowledge distillation from multiple pre-trained teachers for multi-domain sequential recommendation15
A novel semantic-aware search scheme based on BCI-tree index over encrypted cloud data15
Spatial analysis of COVID-19 and the Russia–Ukraine war impacts on natural gas flows using statistical and machine learning models15
PrivMiner: a similar-first approach to frequent itemset mining under local differential privacy15
MvHAAN: multi-view hierarchical attention adversarial network for person re-identification15
Self-supervised end-to-end graph local clustering14
Semantic sentiment based LDA for detecting sentiments of short texts14
Exploring highly concise and accurate text matching model with tiny weights14
Multi-objective optimisation based fuzzy association rule mining method14
Web-based practical privacy-preserving distributed image storage for financial services in cloud computing13
DySpec: Faster speculative decoding with dynamic token tree structure12
DPP-CL: orthogonal subspace continual learning for dialogue policy planning12
STLLM-Rec: enhancing explainable recommendation via self-training LLMs12
Towards multi-dimensional knowledge-aware approach for effective community detection in LBSN11
Jointly learning invocations and descriptions for context-aware mashup tagging with graph attention network11
A novel robust memetic algorithm for dynamic community structures detection in complex networks11
Continuous similarity join over geo-textual data streams11
Learning refined features for open-world text classification with class description and commonsense knowledge11
Persistent graph stream summarization for real-time graph analytics11
A SHAP-based controversy analysis through communities on Twitter10
LAMEE: a light all-MLP framework for time series prediction empowering recommendations10
Improving medical experts’ efficiency of misinformation detection: an exploratory study10
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily10
Integration and innovation of blockchain in Web3.0: current status and standardization prospects10
Enhancing robust semi-supervised graph alignment via adaptive optimal transport9
Drug traceability system based on semantic blockchain and on a reputation method9
HetFS: a method for fast similarity search with ad-hoc meta-paths on heterogeneous information networks9
Knowledge-graph-enabled biomedical entity linking: a survey9
A NOx emission prediction hybrid method based on boiler data feature subset selection9
A graph neural network incorporating spatio-temporal information for location recommendation9
Context-driven cold-start Web traffic forecasting8
NPAC: numeric pattern aware compression algorithm for floating-point time-series data8
An efficient privacy-preserving blockchain storage method for internet of things environment8
GCMT: a graph-contextualized multitask spatio-temporal joint prediction model for cellular trajectories8
Durable queries over non-synchronized temporal data8
PerHeFed: A general framework of personalized federated learning for heterogeneous convolutional neural networks8
MHGCL: Combining Motif and Homogeneity in graph contrastive learning8
Efficient approximation and privacy preservation algorithms for real time online evolving data streams8
Durable reverse top-k queries on time-varying preference8
Group-to-group recommendation with neural graph matching8
ElitePT: A scheduling strategy for planned task in airborne cloud computing environment8
Course map learning with graph convolutional network based on AuCM8
MHGCA: Multi-scale heterogeneous graph learning with content-structure alignment for social spammer detection7
Avoiding unproductive SPARQL queries through optimized indices7
EAGS: An extracting auxiliary knowledge graph model in multi-turn dialogue generation7
A cross-domain knowledge tracing model based on graph optimal transport7
Multi-role social behavior modeling in content-free news recommendation7
Maximizing the influence of bichromatic reverse k nearest neighbors in geo-social networks7
Cloud storage cost: a taxonomy and survey7
The Death of the X-XSS-Protection Header: A Web Security Post-Mortem7
Graph convolutional network for difficulty-controllable visual question generation7
KPLLM-STE: Knowledge-enhanced and prompt-aware large language models for short-text expansion7
Assessing awareness of environmental sustainability in machine learning research7
EBSS: A secure blockchain-based sharing scheme for real estate financial credentials7
Combining macro and micro: feature-driven dynamic graph learning for social media popularity prediction7
A Dual-Embedding Based Reinforcement Learning Scheme for Task Assignment Problem in Spatial Crowdsourcing7
FSSDroid: Feature subset selection for Android malware detection7
Knowledge-aware recommendation system based on cohesive and collaborative enhanced contrastive learning7
A federated learning model based on filtering strategy7
MAPPING: debiasing graph neural networks for fair node classification with limited sensitive information leakage7
Cross-platform product matching based on entity alignment of knowledge graph with raea model7
Editor’s note: Special issue on Fairness-driven User Behavior Modelling and Analysis for Online Recommendation7
Super-resolution-based part collaboration network for vehicle re-identification6
On-chain repairing for multi-party data migration6
ELISAR: A Multi-Agent cybersecurity framework integrating retrieval-augmented generation for Blue, Red, and GRC operations6
Efficient feature redundancy reduction for image denoising6
Meta-path automatically extracted from heterogeneous information network for recommendation6
Zero-shot temporal knowledge graph completion based on generative adversarial network6
Federated learning for supervised cross-modal retrieval6
The medium is the message: toxicity declines in structured vs unstructured online deliberations6
Adaptive retrofitting for industrial machines: utilizing webassembly and peer-to-peer connectivity on the edge6
Editorial for the the special issue of WWW journal on Computational Aspects of Network Science (CAoNS)6
Towards understanding news plagiarism: theoretical and experimental analysis6
DeHier: decoupled and hierarchical graph neural networks for multi-interest session-based recommendation6
TSEE: a novel knowledge embedding framework for cyberspace security6
A probabilistic automata-based network attack-defense game model for data security by using security service chain6
SS4CTR: a semi-supervised framework for enhancing click-through rate prediction in sparse and imbalanced data6
On the role of personality in attitudes toward AI: Do AI’s freedom of choice and social proof matter?6
Design of vehicle certification schemes in IoV based on blockchain6
A survey on large language models for recommendation6
PriMonitor: An adaptive tuning privacy-preserving approach for multimodal emotion detection6
Efficient maintenance of highway cover labelling for distance queries on large dynamic graphs6
A DRL-based online VM scheduler for cost optimization in cloud brokers6
Spatial-temporal meta-path guided explainable crime prediction6
Editorial for Resource Management at the Edge for Future web, Mobile, and IoT Applications6
Towards robust trajectory similarity computation: Representation-based spatio-temporal similarity quantification5
A data-centric framework of improving graph neural networks for knowledge graph embedding5
Transferable universal adversarial perturbations against speaker recognition systems5
Modeling the social influence of COVID-19 via personalized propagation with deep learning5
DPHM-Net:de-redundant multi-period hybrid modeling network for long-term series forecasting5
Multi-view context awareness based transport stay hotspot recognizing5
Group-based social diffusion in recommendation5
CCT-GNN: Collaborative category and time-aware graph neural networks for session-based recommendation systems5
DACAS: integration of attribute-based access control for northbound interface security in SDN5
Balancing the scales: fair API service selection through adaptive provider adjustment5
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation5
Generative adversarial network for unsupervised multi-lingual knowledge graph entity alignment5
Graph neural network for recommendation in complex and quaternion spaces5
HTSE: hierarchical time-surface model for temporal knowledge graph embedding5
Cluster-SCP: Similarity and Contrastive Learning to Enhance Pseudo Labels for Fine Tuning under Few Labels5
Contrastive learning for next-basket recommendation5
Explicitly modeling relationships between domain-specific and domain-invariant interests for cross-domain recommendation5
Securing recommender system via cooperative training4
Sentence-graph-level knowledge injection with multi-task learning4
Use of prompt-based learning for code-mixed and code-switched text classification4
Invariant representation learning to popularity distribution shift for recommendation4
KC-GEE: knowledge-based conditioning for generative event extraction4
EWDP: event-wise differential privacy for efficient electric vehicles infrastructure4
Multi-hop neighbor fusion enhanced hierarchical transformer for multi-modal knowledge graph completion4
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset4
SocialCU: integrating commonalities and uniqueness of users and items for social recommendation4
Editor’s note: Special issue on knowledge-graph-enabled methods and applications for the future web4
How the four-nodes motifs work in heterogeneous node representation?4
Research on the impact of lithium battery ageing cycles on a data-driven lithium battery model4
A subspace constraint based approach for fast hierarchical graph embedding4
Efficient legal contract clause extraction using a QA-based knowledge distillation approach4
Efficiently computing alternative paths in game maps4
SGPT: Semantic graphs based pre-training for aspect-based sentiment analysis4
A text and GNN based controversy detection method on social media4
TULRN: Trajectory user linking on road networks4
Top-k heavy weight triangles listing on graph stream4
Beyond model splitting: Preventing label inference attacks in vertical federated learning with dispersed training4
Towards efficient simulation-based constrained temporal graph pattern matching4
Guest Editorial: WWWJ Special Issue of the 22th International Conference on Web Information Systems Engineering (WISE 2021)4
Efficient information diffusion in time-varying graphs through deep reinforcement learning4
Metacognition-driven user-to-project recommendation for online education services4
Knowledge and data integrated paradigm for industrial operation completion time prediction4
Sequential-hierarchical attention network: Exploring the hierarchical intention feature in POI recommendation3
Empowering reciprocal recommender system using contextual bandits and argumentation based explanations3
PopGR: Popularity reweighting for debiasing in group recommendation3
Leveraging the fine-grained user preferences with graph neural networks for recommendation3
Editor’s note: Special Issue on Data Security Governance Technologies for Web 3.03
Integrating context and criteria: a multi-head attention-based approach for multi-criteria group recommender systems3
Chinese legal adversarial text generation based on interpretable perturbation strategies3
A heterogeneous graph-based semi-supervised learning framework for access control decision-making3
When large language models meet personalization: perspectives of challenges and opportunities3
Zebra: A novel method for optimizing text classification query in overload scenario3
A vision-language model with multi-granular knowledge fusion in medical imaging3
Enhancing bitcoin transaction confirmation prediction: a hybrid model combining neural networks and XGBoost3
Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs3
FPGN: follower prediction framework for infectious disease prevention3
Multi-label out-of-distribution detection with spectral normalized joint energy3
Personalized sampling graph collection with local differential privacy for link prediction3
A stealthy and robust backdoor attack via frequency domain transform3
Toward accurate weight-based measurement and periodic edge measurement in graph stream3
What have we learned from OpenReview?3
LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities3
Rumor blocking with pertinence set in large graphs3
Joint marginal and central sample learning for domain adaptation3
Complex query answering over knowledge graphs foundation model using region embeddings on a lie group3
pFind: Privacy-preserving lost object finding in vehicular crowdsensing3
Few-shot named entity recognition with hybrid multi-prototype learning3
Open knowledge base canonicalization with multi-task learning3
Glider: rethinking congestion control with deep reinforcement learning3
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