Key papers

• Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework (2026)
  Xiping Li et al.
  7.02
• Automated Big Data Quality Assessment using Knowledge Graph Embeddings (2026)
  Hadi Fadlallah et al.
  6.40
• PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching (2025)
  Haotong Du et al.
  6.01
• Federated Recommender System with Data Valuation for E-commerce Platform (2025)
  Jongwon Park et al.
  5.52
• KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models (2025)
  Fnu Mohbat et al.
  5.29
• Graph Contrastive Learning on Multi-label Classification for Recommendations (2025)
  Jiayang Wu et al.
  5.07
• From Blueprint to Reality: Modeling and Applying Putnam's Social Capital Theory with LLM-based Multi-agent Simulations (2026)
  Shiyi Ling et al.
  4.95
• TopoGR: Revealing and Preserving Latent Structure of Semantic ID in Generative Recommendation (2026)
  Ziyu Zheng et al.
  4.95
• Emergence of Preferential Attachment and Glass-Ceiling Effects in Autonomous Networks of LLMs (2026)
  Yiming Zhang et al.
  4.33
• Linking Hadith Narrator Identities Across Heterogeneous Arabic Biographical Databases: A Multi-Signal Entity Resolution Pipeline (2026)
  Taufiq Wirahman
  4.33
• Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy (2026)
  Jingyun Zhang et al.
  4.33
• Narrative World Model: Narratology-Grounded Writer Memory for Long-Form Fiction (2026)
  Mohammad Saifullah et al.
  4.33
• VisTCP: A Visualization Framework to Construct Knowledge-Graph-Based Representation for Traditional Chinese Painting (2026)
  Zhiguang Zhou et al.
  4.33
• Signed-Graph Recommendation as Structural Consistency Maximization (2026)
  Zifan Wang et al.
  4.33
• Nested Episodic State Topology (NEST): A Graph-Theoretic Architecture of Cognitive States (2026)
  Ishant
  4.33
• Trust-Aware Citation Cartel Ranking in Scholarly Knowledge Graphs (2026)
  Pratyush Gupta et al.
  4.33
• RecRec: Recursive Refinement for Sequential Recommendation (2026)
  Pervez Shaik et al.
  4.33
• Graph-Constrained Policy Learning for Extreme Clinical Code Prediction (2026)
  Amritpal Singh et al.
  4.33
• GraphPolaris: A System for Query, Analysis, and Visualization of Graph Databases (2026)
  Michael Behrisch et al.
  4.33
• Aethel: A Reproducible Graph-Retrieval Framework for Multi-Hop Financial Diligence (2026)
  Krish Sapru
  4.33
• MedJudgeRAG: Option-Wise Evidence Judgment with Dynamic Knowledge Graphs for Medical MCQA (2026)
  Seongwon Seo et al.
  4.33
• HVM-GraphRAG: Holistic-View Multimodal Graph Retrieval-Augmented Generation on Complex Document (2026)
  Xin He et al.
  4.33
• Code-on-Graph: Iterative Programmatic Reasoning via Large Language Models on Knowledge Graphs (2026)
  Weiwei Ding et al.
  4.27
• Text-attributed Graph Condensation via Text Selection and Attribute Matching (2026)
  Haowei Han et al.
  4.27
• Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models (2026)
  Ayushman Raghuvanshi et al.
  4.27
• RAGEAR: Retrieval-Augmented Graph-Enhanced Academic Recommender (2026)
  Francesco Granata et al.
  4.22
• KGRec: A knowledge graph attention-based model for recommender system (2026)
  Trinh Duong Hoan et al.
  4.15
• Graph Contrastive Learning With Diffusion-Based Transfer for Cross-Domain Recommender System (2026)
  Pham Minh Thu Do et al.
  4.15
• STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation (2025)
  Zhenye Yang et al.
  3.86
• Collective Cognition in Hybrid Groups: A Network Science Synthesis (2026)
  Babak Hemmatian et al.
  3.45
• Faithful or Findable? Evaluating LLM-Generated Metadata for RDF Dataset Search (2026)
  Riccardo Terrenzi et al.
  3.45
• SHEAF: Self-profiled Hardness Estimation from Answer-set Flux for Predicting Query Hardness in Graph-based ANN Search (2026)
  Dongfang Zhao
  3.45
• On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies (2026)
  Sunwoo Kim et al.
  3.39
• Structural and Temporal Hallmarks of Genealogical Networks (2026)
  Japheth Carlson et al.
  3.39
• Intention Knowledge Graph Construction for User Intention Relation Modeling (2024)
  Jiaxin Bai et al.
  3.26
• Graph Federated Learning for Personalized Privacy Recommendation (2025)
  Ce Na et al.
  2.93
• Graph Neural Network Enhanced Sequential Recommendation Method for Cross-Platform Ad Campaign (2025)
  Xiang Li et al.
  2.87
• Counterfactual Language Reasoning for Explainable Recommendation Systems (2025)
  Guanrong Li et al.
  2.65
• Personalized Negative Reservoir for Incremental Learning in Recommender Systems (2024)
  Antonios Valkanas et al.
  2.10
• Cost-Governed RAG: Unified Per-Tenant Cost Attribution Across Retrieval and Generation in Multi-Tenant LLM Systems (2026)
  Navnit Shukla
  1.94
• Identifying the Source of Information Spread in Networks via Markov Chains (2026)
  Yael Sabato et al.
  1.89
• Directed Acyclic Graph Convolutional Networks (2026)
  Samuel Rey et al.
  1.89
• Guiding Federated Graph Recommendation with LLM-encoded knowledge (2026)
  Thi Minh Chau Nguyen et al.
  1.89
• Adaptive weighting-based hybrid recommender system: self-learning adaptive recommendation (SL-ARec) (2026)
  Mustafa Enes Çakır et al.
  1.89
• A Knowledge-Based Book Recommender through Enhanced Retrieval-Augmented Generation (2026)
  V. Khomenko et al.
  1.89
• Knowledge-Aware Prompt-Tuning for Integrated Conversational Recommender System (2026)
  Xuhua Yang et al.
  1.89
• Geo-Lecture: Exploiting location-based recommendation in the context of lecture attendance tracking using a geographical information system (GIS) (2026)
  N. Asabere et al.
  1.89
• Multimodal fusion in graph-based recommendation systems (2026)
  Maha Sayed et al.
  1.89
• ELSA-Compliant Explainable Recommender Systems (2026)
  Varsha Kalidas et al.
  1.89
• GAT-ARS: A Unified Academic Recommendation Model Powered by Graph Attention Mechanisms (2026)
  Ramachandra H V et al.
  1.89
• Multimodal Interest-Tree Based Negative Enhancement for Recommendation (2026)
  Doudou Si et al.
  1.89
• Shareh: explainable knowledge graph-based Arabic recommender system (2026)
  Zainab Katheeth et al.
  1.89
• Graph Self-Supervised Learning via Learnable View Augmentation for Recommender System (2026)
  Hengjing Xiang et al.
  1.89
• Decentralized Multi‐Graph Based on Attention Network for Social Recommendation (2026)
  Liming Wang et al.
  1.89
• LLM Retrieval for Stable and Predictable Ad Recommendations (2026)
  Vinodh Kumar Sunkara et al.
  1.83
• TRU: Targeted Reverse Update for Efficient Multimodal Recommendation Unlearning (2026)
  Zhanting Zhou and KaHou Tam and Ziqiang Zheng and Zeyu Ma and Yang Yang
  1.78
• MMP-Refer: Multimodal Path Retrieval-augmented LLMs For Explainable Recommendation (2026)
  Xiangchen Pan et al.
  1.78
• HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships (2026)
  Xiangxu Zhang et al.
  1.72
• Lightweight Fairness for LLM-Based Recommendations via Kernelized Projection and Gated Adapters (2026)
  Nan Cui et al.
  1.72
• Aspect-Aware MOOC Recommendation in a Heterogeneous Network (2026)
  Seongyeub Chu et al.
  1.67