Fedivertex: a Graph Dataset based on Decentralized Social Networks for Trustworthy Machine Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Damie, Marc, Cyffers, Edwige |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentially Private Decentralized Learning with Random Walks
by: Cyffers, Edwige, et al.
Published: (2024)
by: Cyffers, Edwige, et al.
Published: (2024)
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
by: Khatami, Seyedeh Baharan, et al.
Published: (2024)
by: Khatami, Seyedeh Baharan, et al.
Published: (2024)
Setting $\varepsilon$ is not the Issue in Differential Privacy
by: Cyffers, Edwige
Published: (2025)
by: Cyffers, Edwige
Published: (2025)
Privacy Attacks in Decentralized Learning
by: Mrini, Abdellah El, et al.
Published: (2024)
by: Mrini, Abdellah El, et al.
Published: (2024)
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
by: Wu, Tao, et al.
Published: (2024)
by: Wu, Tao, et al.
Published: (2024)
COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions
by: Bishal, Mahathir Mohammad, et al.
Published: (2024)
by: Bishal, Mahathir Mohammad, et al.
Published: (2024)
Machine Learning on Dynamic Graphs: A Survey on Applications
by: Fard, Sanaz Hasanzadeh
Published: (2024)
by: Fard, Sanaz Hasanzadeh
Published: (2024)
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis
by: Nippani, Abhinav, et al.
Published: (2023)
by: Nippani, Abhinav, et al.
Published: (2023)
Learning Social Graph for Inactive User Recommendation
by: Liu, Nian, et al.
Published: (2024)
by: Liu, Nian, et al.
Published: (2024)
Towards Fair Graph Representation Learning in Social Networks
by: Zhang, Guixian, et al.
Published: (2024)
by: Zhang, Guixian, et al.
Published: (2024)
Forward Learning of Graph Neural Networks
by: Park, Namyong, et al.
Published: (2024)
by: Park, Namyong, et al.
Published: (2024)
A Survey of Graph Neural Networks for Social Recommender Systems
by: Sharma, Kartik, et al.
Published: (2022)
by: Sharma, Kartik, et al.
Published: (2022)
Explaining the Power of Topological Data Analysis in Graph Machine Learning
by: Taiwo, Funmilola Mary, et al.
Published: (2024)
by: Taiwo, Funmilola Mary, et al.
Published: (2024)
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
by: Coupette, Corinna, et al.
Published: (2025)
by: Coupette, Corinna, et al.
Published: (2025)
A Unified Graph Selective Prompt Learning for Graph Neural Networks
by: Jiang, Bo, et al.
Published: (2024)
by: Jiang, Bo, et al.
Published: (2024)
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
by: Li, Zehui, et al.
Published: (2023)
by: Li, Zehui, et al.
Published: (2023)
Predicting Channel Closures in the Lightning Network with Machine Learning
by: Antonelli, Simone, et al.
Published: (2026)
by: Antonelli, Simone, et al.
Published: (2026)
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)
by: Huang, Zhenhua, et al.
Published: (2024)
GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets
by: Wang, Junxiang, et al.
Published: (2024)
by: Wang, Junxiang, et al.
Published: (2024)
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
by: Zheng, Yilun, et al.
Published: (2024)
by: Zheng, Yilun, et al.
Published: (2024)
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
by: Dong, Yuxin, et al.
Published: (2024)
by: Dong, Yuxin, et al.
Published: (2024)
Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
by: Liu, Junhua, et al.
Published: (2024)
by: Liu, Junhua, et al.
Published: (2024)
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
by: Jiang, Mengying, et al.
Published: (2024)
by: Jiang, Mengying, et al.
Published: (2024)
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
by: Lee, Yeon-Chang, et al.
Published: (2024)
by: Lee, Yeon-Chang, et al.
Published: (2024)
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
by: Niu, Chaoxi, et al.
Published: (2023)
by: Niu, Chaoxi, et al.
Published: (2023)
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation
by: Neo, Neng Kai Nigel, et al.
Published: (2024)
by: Neo, Neng Kai Nigel, et al.
Published: (2024)
Incorporating Heterophily into Graph Neural Networks for Graph Classification
by: Yang, Jiayi, et al.
Published: (2022)
by: Yang, Jiayi, et al.
Published: (2022)
Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator
by: Zhang, Yusong, et al.
Published: (2024)
by: Zhang, Yusong, et al.
Published: (2024)
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
by: Feldman, Or, et al.
Published: (2025)
by: Feldman, Or, et al.
Published: (2025)
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning
by: Li, Xiang, et al.
Published: (2021)
by: Li, Xiang, et al.
Published: (2021)
GASTON: Graph-Aware Social Transformer for Online Networks
by: Wloch, Olha, et al.
Published: (2026)
by: Wloch, Olha, et al.
Published: (2026)
A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing
by: Yuan, Yuan, et al.
Published: (2023)
by: Yuan, Yuan, et al.
Published: (2023)
Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes
by: Wu, Qi, et al.
Published: (2025)
by: Wu, Qi, et al.
Published: (2025)
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
by: Zheng, Yilun, et al.
Published: (2024)
by: Zheng, Yilun, et al.
Published: (2024)
Heterophily-Aware Graph Attention Network
by: Wang, Junfu, et al.
Published: (2023)
by: Wang, Junfu, et al.
Published: (2023)
On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks
by: Guettala, Walid, et al.
Published: (2024)
by: Guettala, Walid, et al.
Published: (2024)
Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
by: Khanna, Samarth, et al.
Published: (2024)
by: Khanna, Samarth, et al.
Published: (2024)
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
by: Pisacane, Alexei, et al.
Published: (2024)
by: Pisacane, Alexei, et al.
Published: (2024)
Heterogeneous Social Event Detection via Hyperbolic Graph Representations
by: Qiu, Zitai, et al.
Published: (2023)
by: Qiu, Zitai, et al.
Published: (2023)
Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems
by: Senapati, Aadarsh, et al.
Published: (2026)
by: Senapati, Aadarsh, et al.
Published: (2026)
Similar Items
-
Differentially Private Decentralized Learning with Random Walks
by: Cyffers, Edwige, et al.
Published: (2024) -
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
by: Khatami, Seyedeh Baharan, et al.
Published: (2024) -
Setting $\varepsilon$ is not the Issue in Differential Privacy
by: Cyffers, Edwige
Published: (2025) -
Privacy Attacks in Decentralized Learning
by: Mrini, Abdellah El, et al.
Published: (2024) -
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
by: Wu, Tao, et al.
Published: (2024)