Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing
Fuente:
arXiv
Saved in:
| Main Authors: | Dacrema, Maurizio Ferrari, Benigni, Michael, Ferro, Nicola |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Diffusion Recommender Models and the Illusion of Progress: A Concerning Study of Reproducibility and a Conceptual Mismatch
by: Benigni, Michael, et al.
Published: (2025)
by: Benigni, Michael, et al.
Published: (2025)
PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
by: Naeimi, Mohammad, et al.
Published: (2025)
by: Naeimi, Mohammad, et al.
Published: (2025)
Facilitating Interdisciplinary Knowledge Transfer with Research Paper Recommender Systems
by: Cunningham, Eoghan, et al.
Published: (2023)
by: Cunningham, Eoghan, et al.
Published: (2023)
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems
by: Yu, Runlong, et al.
Published: (2024)
by: Yu, Runlong, et al.
Published: (2024)
Recent Advances and Trends in Research Paper Recommender Systems: A Comprehensive Survey
by: Pinedo, Iratxe, et al.
Published: (2025)
by: Pinedo, Iratxe, et al.
Published: (2025)
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders
by: Xing, Jinming, et al.
Published: (2024)
by: Xing, Jinming, et al.
Published: (2024)
Frugal Knowledge Graph Construction with Local LLMs: A Zero-Shot Pipeline, Self-Consistency and Wisdom of Artificial Crowds
by: Jourlin, Pierre
Published: (2026)
by: Jourlin, Pierre
Published: (2026)
Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation
by: Akhlaghi, Zahra, et al.
Published: (2025)
by: Akhlaghi, Zahra, et al.
Published: (2025)
Tokenize Once, Recommend Anywhere: Unified Item Tokenization for Multi-domain LLM-based Recommendation
by: Hou, Yu, et al.
Published: (2025)
by: Hou, Yu, et al.
Published: (2025)
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation
by: Nemati, Narges, et al.
Published: (2025)
by: Nemati, Narges, et al.
Published: (2025)
Training oscillator Ising machines to assign the dynamic stability of their equilibrium points
by: Cheng, Yi, et al.
Published: (2025)
by: Cheng, Yi, et al.
Published: (2025)
PreferRec: Learning and Transferring Pareto Preferences for Multi-objective Re-ranking
by: Zhou, Wei, et al.
Published: (2026)
by: Zhou, Wei, et al.
Published: (2026)
NexusIndex: Integrating Advanced Vector Indexing and Multi-Model Embeddings for Robust Fake News Detection
by: Monir, Solmaz Seyed, et al.
Published: (2024)
by: Monir, Solmaz Seyed, et al.
Published: (2024)
Language Models and Cycle Consistency for Self-Reflective Machine Translation
by: Wangni, Jianqiao
Published: (2024)
by: Wangni, Jianqiao
Published: (2024)
A Worrying Reproducibility Study of Intent-Aware Recommendation Models
by: Shehzad, Faisal, et al.
Published: (2025)
by: Shehzad, Faisal, et al.
Published: (2025)
The Price of Meaning: Why Every Semantic Memory System Forgets
by: Barman, Sambartha Ray, et al.
Published: (2026)
by: Barman, Sambartha Ray, et al.
Published: (2026)
Against Opacity: Explainable AI and Large Language Models for Effective Digital Advertising
by: Yang, Qi, et al.
Published: (2025)
by: Yang, Qi, et al.
Published: (2025)
Challenges in Implementing a Recommender System for Historical Research in the Humanities
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2024)
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2024)
Predictive Associative Memory: Retrieval Beyond Similarity Through Temporal Co-occurrence
by: Dury, Jason
Published: (2026)
by: Dury, Jason
Published: (2026)
Demystifying MPNNs: Message Passing as Merely Efficient Matrix Multiplication
by: Jiang, Qin, et al.
Published: (2025)
by: Jiang, Qin, et al.
Published: (2025)
A Multistakeholder Approach to Value-Driven Co-Design of Recommender System Evaluation Metrics in Digital Archives
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2025)
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2025)
Value Identification in Multistakeholder Recommender Systems for Humanities and Historical Research: The Case of the Digital Archive Monasterium.net
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2024)
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2024)
Who Gets Recommended? Investigating Gender, Race, and Country Disparities in Paper Recommendations from Large Language Models
by: Tian, Yifan, et al.
Published: (2024)
by: Tian, Yifan, et al.
Published: (2024)
Probabilistically Rewired Message-Passing Neural Networks
by: Qian, Chendi, et al.
Published: (2023)
by: Qian, Chendi, et al.
Published: (2023)
Document clustering with evolved multiword search queries
by: Hirsch, Laurence, et al.
Published: (2025)
by: Hirsch, Laurence, et al.
Published: (2025)
When a Paper Has 1000 Authors: Rethinking Citation Metrics in the Era of LLMs
by: Guo, Weihang, et al.
Published: (2025)
by: Guo, Weihang, et al.
Published: (2025)
Chain-of-Factors Paper-Reviewer Matching
by: Zhang, Yu, et al.
Published: (2023)
by: Zhang, Yu, et al.
Published: (2023)
Enhancing Academic Paper Recommendations Using Fine-Grained Knowledge Entities and Multifaceted Document Embeddings
by: Xi, Haixu, et al.
Published: (2026)
by: Xi, Haixu, et al.
Published: (2026)
No Stupid Questions: An Analysis of Question Query Generation for Citation Recommendation
by: Zimmerman, Brian D., et al.
Published: (2025)
by: Zimmerman, Brian D., et al.
Published: (2025)
What Do Humanities Scholars Need? A User Model for Recommendation in Digital Archives
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2026)
by: Atzenhofer-Baumgartner, Florian, et al.
Published: (2026)
Thanking the World: Exploring Gender-Based Differences in Acknowledgment Patterns and Support Systems in Theses
by: Lamba, Manika, et al.
Published: (2024)
by: Lamba, Manika, et al.
Published: (2024)
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering
by: Wasi, Azmine Toushik, et al.
Published: (2024)
by: Wasi, Azmine Toushik, et al.
Published: (2024)
Beyond Paper-to-Paper: Structured Profiling and Rubric Scoring for Paper-Reviewer Matching
by: Pan, Yicheng, et al.
Published: (2026)
by: Pan, Yicheng, et al.
Published: (2026)
RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models
by: Hussien, Mohamed Manzour, et al.
Published: (2024)
by: Hussien, Mohamed Manzour, et al.
Published: (2024)
A Gold Standard Dataset for the Reviewer Assignment Problem
by: Stelmakh, Ivan, et al.
Published: (2023)
by: Stelmakh, Ivan, et al.
Published: (2023)
PATopics: An automatic framework to extract useful information from pharmaceutical patents documents
by: Cecilio, Pablo, et al.
Published: (2024)
by: Cecilio, Pablo, et al.
Published: (2024)
GotFunding: A grant recommendation system based on scientific articles
by: Zeng, Tong, et al.
Published: (2024)
by: Zeng, Tong, et al.
Published: (2024)
Impression-Aware Recommender Systems
by: Maurera, Fernando B. Pérez, et al.
Published: (2023)
by: Maurera, Fernando B. Pérez, et al.
Published: (2023)
A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty
by: Hou, Yu, et al.
Published: (2023)
by: Hou, Yu, et al.
Published: (2023)
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint
by: Shin, Yong-Min, et al.
Published: (2024)
by: Shin, Yong-Min, et al.
Published: (2024)
Similar Items
-
Diffusion Recommender Models and the Illusion of Progress: A Concerning Study of Reproducibility and a Conceptual Mismatch
by: Benigni, Michael, et al.
Published: (2025) -
PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
by: Naeimi, Mohammad, et al.
Published: (2025) -
Facilitating Interdisciplinary Knowledge Transfer with Research Paper Recommender Systems
by: Cunningham, Eoghan, et al.
Published: (2023) -
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems
by: Yu, Runlong, et al.
Published: (2024) -
Recent Advances and Trends in Research Paper Recommender Systems: A Comprehensive Survey
by: Pinedo, Iratxe, et al.
Published: (2025)