A Framework for Exploring Federated Community Detection

14 December 2023

Papers citing "A Framework for Exploring Federated Community Detection"

10 / 10 papers shown

Title
Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection Will Leeney Ryan McConville 59 4 0 10 May 2023
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset Dan Saattrup Nielsen Ryan McConville 61 80 0 23 Feb 2022
Federated Graph Learning -- A Position Paper Hu Zhang Tao Shen Leilei Gan Mingyang Yin Hongxia Yang Chao Wu FedML 76 53 0 24 May 2021
Cluster-driven Graph Federated Learning over Multiple Domains Debora Caldarola Massimiliano Mancini Fabio Galasso Marco Ciccone Emanuele Rodolà Barbara Caputo FedML 121 85 0 29 Apr 2021
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media Yi Han S. Karunasekera C. Leckie GNN 114 112 0 07 Jul 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 119 268 0 30 Jun 2020
Towards Federated Graph Learning for Collaborative Financial Crimes Detection Toyotaro Suzumura Yi Zhou Natahalie Barcardo Guangann Ye Keith Houck ... Yuji Watanabe Pablo S. Loyola Daniel Klyashtorny Heiko Ludwig Kumar Bhaskaran FedML 86 72 0 19 Sep 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach Chun Wang Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Chengqi Zhang GNN 68 517 0 15 Jun 2019
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 500 2,521 0 08 Jun 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 414 17,615 0 17 Feb 2016