Uncertainty in GNN Learning Evaluations: A Comparison between Measures for Quantifying Randomness in GNN Community Detection

Uncertainty in GNN Learning Evaluations: A Comparison between Measures for Quantifying Randomness in GNN Community Detection

(1) The enhanced capability of graph neural networks (GNNs) in unsupervised community detection of clustered nodes is attributed to their capacity to encode both the connectivity and feature information spaces of graphs. The identification of latent communities holds practical significance in variou...

Full description

Bibliographic Details
Main Authors:	William Leeney, Ryan McConville
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Entropy
Subjects:	graph neural networks community detection hyperparameter optimisation node clustering representation learning benchmarks
Online Access:	https://www.mdpi.com/1099-4300/26/1/78

Similar Items

Bridge Node Detection between Communities Based on GNN
by: Hairu Luo, et al.
Published: (2022-10-01)

Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification
by: Shuhao Shi, et al.
Published: (2021-11-01)

Flood-Related Multimedia Benchmark Evaluation: Challenges, Results and a Novel GNN Approach
by: Thomas Papadimos, et al.
Published: (2023-04-01)

MetaGNN-Based Medical Records Unstructured Specialized Vocabulary Few-Shot Representation Learning
by: Hongxing Ling, et al.
Published: (2022-01-01)

Joint Multidimensional Pattern for Spectrum Prediction Using GNN
by: Xiaomin Wen, et al.
Published: (2023-11-01)

MT $$^2$$ 2 AD: multi-layer temporal transaction anomaly detection in ethereum networks with GNN
by: Beibei Han, et al.
Published: (2023-07-01)

Auto-GNN: Neural architecture search of graph neural networks
by: Kaixiong Zhou, et al.
Published: (2022-11-01)

Missing Data Estimation in Temporal Multilayer Position-Aware Graph Neural Network (TMP-GNN)
by: Bahareh Najafi, et al.
Published: (2022-04-01)

A GNN Architecture With Local and Global-Attention Feature for Image Classification
by: Zhengshun Fei, et al.
Published: (2023-01-01)

Distributed Generation Forecasting Based on Rolling Graph Neural Network (ROLL-GNN)
by: Jizhong Xue, et al.
Published: (2023-05-01)

GR-GNN: Gated Recursion-Based Graph Neural Network Algorithm
by: Kao Ge, et al.
Published: (2022-04-01)

GSO:A GNN-based Deep Learning Computation Graph Substitutions Optimization Framework
by: MIAO Xu-peng, ZHOU Yue, SHAO Ying-xia, CUI Bin
Published: (2022-03-01)

Enhancing risk analysis with GNN: Edge classification in risk causality from securities reports
by: Hajime Sasaki, et al.
Published: (2024-04-01)

RLC-GNN: An Improved Deep Architecture for Spatial-Based Graph Neural Network with Application to Fraud Detection
by: Yufan Zeng, et al.
Published: (2021-06-01)

DQN-GNN-Based User Association Approach for Wireless Networks
by: Ibtihal Alablani, et al.
Published: (2023-10-01)

Few-Shot Fine-Grained Image Classification via GNN
by: Xiangyu Zhou, et al.
Published: (2022-10-01)

SR-GNN Based Fault Classification and Location in Power Distribution Network
by: Haojie Mo, et al.
Published: (2022-12-01)

Multi-Output Network Combining GNN and CNN for Remote Sensing Scene Classification
by: Feifei Peng, et al.
Published: (2022-03-01)

SmileGNN: Drug–Drug Interaction Prediction Based on the SMILES and Graph Neural Network
by: Xueting Han, et al.
Published: (2022-02-01)

GCLR: GNN-Based Cross Layer Optimization for Multipath TCP by Routing
by: Ting Zhu, et al.
Published: (2020-01-01)

CGMMA: CNN-GNN Multiscale Mixed Attention Network for Remote Sensing Image Change Detection
by: Yan Zhang, et al.
Published: (2024-01-01)

LeL-GNN: Learnable Edge Sampling and Line Based Graph Neural Network for Link Prediction
by: Md Golam Morshed, et al.
Published: (2023-01-01)

Access control relationship prediction method based on GNN dual source learning
by: Dibin SHAN, Xuehui DU, Wenjuan WANG, Aodi LIU, Na WANG
Published: (2022-10-01)

Method for Training and White Boxing DL, BDT, Random Forest and Mind Maps Based on GNN
by: Kohei Arai
Published: (2023-04-01)

Sensor network prediction based on spatial and temporal GNN
by: Liu Peng, et al.
Published: (2022-01-01)

Scenario-Based Segmentation: Traffic Image Segmentation by GNN Based Driver’s Scenario
by: Seungwoo Nham, et al.
Published: (2024-01-01)

R-GNN: recurrent graph neural networks for font classification of oracle bone inscriptions
by: Jiang Yuan, et al.
Published: (2024-01-01)

Bias Assessment Approaches for Addressing User-Centered Fairness in GNN-Based Recommender Systems
by: Nikzad Chizari, et al.
Published: (2023-02-01)

Drug Solubility Prediction: A Comparative Analysis of GNN, MLP, and Traditional Machine Learning Algorithms
by: Veysel Gider, et al.
Published: (2024-03-01)

Multi-Class fNIRS Classification Using an Ensemble of GNN-Based Models
by: Minseok Seo, et al.
Published: (2023-01-01)

GNN-surv: Discrete-Time Survival Prediction Using Graph Neural Networks
by: So Yeon Kim
Published: (2023-09-01)

Link Pruning for Community Detection in Social Networks
by: Jeongseon Kim, et al.
Published: (2022-07-01)

NT-GNN: Network Traffic Graph for 5G Mobile IoT Android Malware Detection
by: Tianyue Liu, et al.
Published: (2023-02-01)

BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping
by: Kaizhong Zheng, et al.
Published: (2024-04-01)

Interactivity Recognition Graph Neural Network (IR-GNN) Model for Improving Human–Object Interaction Detection
by: Jiali Zhang, et al.
Published: (2023-01-01)

Codeformer: A GNN-Nested Transformer Model for Binary Code Similarity Detection
by: Guangming Liu, et al.
Published: (2023-04-01)

ReGNN: A Repeat Aware Graph Neural Network for Session-Based Recommendations
by: Xuefeng Xian, et al.
Published: (2020-01-01)

Investigation of CRS-associated cytokines in CAR-T therapy with meta-GNN and pathway crosstalk
by: Zhenyu Wei, et al.
Published: (2022-09-01)

A sequential learning model with GNN for EEG-EMG-based stroke rehabilitation BCI
by: Haoyang Li, et al.
Published: (2023-04-01)

FUSION: Measuring Binary Function Similarity with Code-Specific Embedding and Order-Sensitive GNN
by: Hao Gao, et al.
Published: (2022-12-01)