Imagen de Portada

Representative Ranking for Deliberation in the Public Sphere

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Revel, Manon, Milli, Smitha, Lu, Tyler, Watson-Daniels, Jamelle, Nickel, Max
Formato:	Preprint
Publicado:	2025
Materias:	Social and Information Networks Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Directed Criteria Citation Recommendation and Ranking Through Link Prediction
por: Watson, William, et al.
Publicado: (2024)

Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test
por: Subramonian, Arjun, et al.
Publicado: (2023)

An Improved and Generalised Analysis for Spectral Clustering
por: Tyler, George, et al.
Publicado: (2025)

Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
por: Wang, Yancheng, et al.
Publicado: (2024)

Fairness-aware PageRank via Edge Reweighting
por: Wang, Honglian, et al.
Publicado: (2025)

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning
por: Oh, Sejoon, et al.
Publicado: (2024)

Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits
por: Cinus, Federico, et al.
Publicado: (2025)

FairRARI: A Plug and Play Framework for Fairness-Aware PageRank
por: Kariotakis, Emmanouil, et al.
Publicado: (2026)

LoRAP: Low-Rank Aggregation Prompting for Quantized Graph Neural Networks Training
por: Liu, Chenyu, et al.
Publicado: (2026)

HawkesRank: Event-Driven Centrality for Real-Time Importance Ranking
por: Sornette, Didier, et al.
Publicado: (2026)

Edge Classification on Graphs: New Directions in Topological Imbalance
por: Cheng, Xueqi, et al.
Publicado: (2024)

DyGnROLE: Modeling Asymmetry in Dynamic Graphs with Node-Role-Oriented Latent Encoding
por: Bonnet, Tyler, et al.
Publicado: (2026)

MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion
por: Xu, Ming, et al.
Publicado: (2023)

VaxPulse: Monitoring of Online Public Concerns to Enhance Post-licensure Vaccine Surveillance
por: Javed, Muhammad, et al.
Publicado: (2025)

PageRank Bandits for Link Prediction
por: Ban, Yikun, et al.
Publicado: (2024)

Bridging the Gap: Leveraging Retrieval-Augmented Generation to Better Understand Public Concerns about Vaccines
por: Javed, Muhammad, et al.
Publicado: (2025)

Attribute-Enhanced Similarity Ranking for Sparse Link Prediction
por: Mattos, João, et al.
Publicado: (2024)

The Effects of Randomness on the Stability of Node Embeddings
por: Schumacher, Tobias, et al.
Publicado: (2020)

Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection
por: Xiao, Chunjing, et al.
Publicado: (2025)

Spectral goodness-of-fit tests for complete and partial network data
por: Lubold, Shane, et al.
Publicado: (2021)

A survey of dynamic graph neural networks
por: Zheng, Yanping, et al.
Publicado: (2024)

Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media
por: Milli, Smitha, et al.
Publicado: (2023)

Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
por: Epasto, Alessandro, et al.
Publicado: (2022)

Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits
por: Krishnamurthy, Ramakrishnan, et al.
Publicado: (2026)

Algorithmic Approaches to Opinion Selection for Online Deliberation: A Comparative Study
por: Hafid, Salim, et al.
Publicado: (2026)

An Efficient Long-Context Ranking Architecture With Calibrated LLM Distillation: Application to Person-Job Fit
por: Jouanneau, Warren, et al.
Publicado: (2026)

RankMerging: A supervised learning-to-rank framework to predict links in large social network
por: Tabourier, Lionel, et al.
Publicado: (2014)

Professional Network Matters: Connections Empower Person-Job Fit
por: Chen, Hao, et al.
Publicado: (2023)

A Lightweight Deep Learning-based Model for Ranking Influential Nodes in Complex Networks
por: Ramadhan, Mohammed A., et al.
Publicado: (2025)

Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
por: Lu, Qincheng, et al.
Publicado: (2024)

Training a Label-Noise-Resistant GNN with Reduced Complexity
por: Zhao, Rui, et al.
Publicado: (2024)

Boundary-enhanced time series data imputation with long-term dependency diffusion models
por: Xiao, Chunjing, et al.
Publicado: (2025)

Efficient Network Embedding by Approximate Equitable Partitions
por: Squillace, Giuseppe, et al.
Publicado: (2024)

GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
por: Lu, Hsiao-Ying, et al.
Publicado: (2024)

Data-centric Graph Learning: A Survey
por: Guo, Yuxin, et al.
Publicado: (2023)

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
por: Song, Yudan, et al.
Publicado: (2025)

"All of Me": Mining Users' Attributes from their Public Spotify Playlists
por: Tricomi, Pier Paolo, et al.
Publicado: (2024)

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
por: Lu, Kangkang, et al.
Publicado: (2024)

When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
por: Luan, Sitao, et al.
Publicado: (2023)

SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs
por: Wang, Leyao, et al.
Publicado: (2024)