Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Minici, Marco, Cinus, Federico, Bonchi, Francesco, Manco, Giuseppe
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Social and Information Networks Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Engagement-Driven Content Generation with Large Language Models
di: Coppolillo, Erica, et al.
Pubblicazione: (2024)

Minimizing Polarization and Disagreement in the Friedkin-Johnsen Model with Unknown Innate Opinions
di: Cinus, Federico, et al.
Pubblicazione: (2025)

Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election
di: Cinus, Federico, et al.
Pubblicazione: (2024)

Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
di: Coppolillo, Erica, et al.
Pubblicazione: (2024)

Uncovering Coordinated Cross-Platform Information Operations Threatening the Integrity of the 2024 U.S. Presidential Election Online Discussion
di: Minici, Marco, et al.
Pubblicazione: (2024)

IOHunter: Graph Foundation Model to Uncover Online Information Operations
di: Minici, Marco, et al.
Pubblicazione: (2024)

Link Prediction with Physics-Inspired Graph Neural Networks
di: Di Francesco, Andrea Giuseppe, et al.
Pubblicazione: (2024)

Local Graph Clustering with Noisy Labels
di: de Luca, Artur Back, et al.
Pubblicazione: (2023)

Disrupting Networks: Amplifying Social Dissensus via Opinion Perturbation and Large Language Models
di: Coppolillo, Erica, et al.
Pubblicazione: (2025)

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

NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
di: Wang, Zhonghao, et al.
Pubblicazione: (2024)

Auditing LLM Editorial Bias in News Media Exposure
di: Minici, Marco, et al.
Pubblicazione: (2025)

Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs
di: Cui, Hang, et al.
Pubblicazione: (2024)

CORE: Data Augmentation for Link Prediction via Information Bottleneck
di: Dong, Kaiwen, et al.
Pubblicazione: (2024)

Efficient and Privacy-Preserved Link Prediction via Condensed Graphs
di: Long, Yunbo, et al.
Pubblicazione: (2025)

RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection
di: Zhang, Longlong, et al.
Pubblicazione: (2026)

HyperQuery: Beyond Binary Link Prediction
di: Maleki, Sepideh, et al.
Pubblicazione: (2025)

Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods
di: Liang, Shuming, et al.
Pubblicazione: (2024)

Diffusion-based Negative Sampling on Graphs for Link Prediction
di: Nguyen, Trung-Kien, et al.
Pubblicazione: (2024)

Node Duplication Improves Cold-start Link Prediction
di: Guo, Zhichun, et al.
Pubblicazione: (2024)

Temporal Link Prediction Using Graph Embedding Dynamics
di: Fard, Sanaz Hasanzadeh, et al.
Pubblicazione: (2024)

Simplifying Subgraph Representation Learning for Scalable Link Prediction
di: Louis, Paul, et al.
Pubblicazione: (2023)

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
di: Zhang, Tianyi, et al.
Pubblicazione: (2023)

A Community-Enhanced Graph Representation Model for Link Prediction
di: Wang, Lei, et al.
Pubblicazione: (2025)

GravityGraphSAGE: Link Prediction in Directed Attributed Graphs
di: Porcedda, Riccardo, et al.
Pubblicazione: (2026)

Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias
di: He, Xin, et al.
Pubblicazione: (2024)

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

Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
di: Khanna, Samarth, et al.
Pubblicazione: (2024)

Pure Message Passing Can Estimate Common Neighbor for Link Prediction
di: Dong, Kaiwen, et al.
Pubblicazione: (2023)

Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
di: Kim, Junghun, et al.
Pubblicazione: (2024)

Enhancing Cross-domain Link Prediction via Evolution Process Modeling
di: Huang, Xuanwen, et al.
Pubblicazione: (2024)

RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space
di: Sun, Li, et al.
Pubblicazione: (2024)

GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
di: Wang, Zixiao, et al.
Pubblicazione: (2022)

Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks
di: Pran, Rakib Hassan
Pubblicazione: (2021)

How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs
di: Perez, Mathilde, et al.
Pubblicazione: (2026)

GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
di: Wang, Hewen, et al.
Pubblicazione: (2025)

Two Americas of Well-Being: Divergent Rural-Urban Patterns of Life Satisfaction and Happiness from 2.6 B Social Media Posts
di: Iacus, Stefano Maria, et al.
Pubblicazione: (2025)

PageRank Bandits for Link Prediction
di: Ban, Yikun, et al.
Pubblicazione: (2024)

SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
di: Lee, Jongha, et al.
Pubblicazione: (2024)