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"

10 / 10 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 31 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
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 13 21 0 19 Nov 2022
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 6 3 0 29 Oct 2021
Learning Ideological Embeddings from Information Cascades Corrado Monti Giuseppe Manco Çigdem Aslay Francesco Bonchi 10 10 0 28 Sep 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng-Long Jiang CML OOD 13 93 0 03 Jun 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal K. Fountoulakis Aukosh Jagannath OODD 16 75 0 13 Feb 2021
Semi-supervised Anomaly Detection on Attributed Graphs Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 6 37 0 27 Feb 2020
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 118 977 0 29 Dec 2009