Stochastic Blockmodels meet Graph Neural Networks

Stochastic Blockmodels meet Graph Neural Networks

14 May 2019

Lawrence Carin

Papers citing "Stochastic Blockmodels meet Graph Neural Networks"

6 / 6 papers shown

Title
New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics Ling Cheng Jiashu Pu Ruicheng Liang Qian Shao Hezhe Qiao Feida Zhu 23 0 0 22 Apr 2025
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Daniel Zilberg Ron Levie 26 0 0 18 Sep 2024
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks Vignesh Kothapalli Tom Tirer Joan Bruna 24 10 0 04 Jul 2023
Learning Ideological Embeddings from Information Cascades Corrado Monti Giuseppe Manco Çigdem Aslay Francesco Bonchi 8 10 0 28 Sep 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal K. Fountoulakis Aukosh Jagannath OODD 14 75 0 13 Feb 2021
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 118 975 0 29 Dec 2009