Semi-supervised Learning in Network-Structured Data via Total Variation Minimization

28 January 2019

Papers citing "Semi-supervised Learning in Network-Structured Data via Total Variation Minimization"

4 / 4 papers shown

Title
Towards Model-Agnostic Federated Learning over Networks Alexander Jung S. Abdurakhmanova A. Jung FedML 31 4 0 08 Feb 2023
Data-heterogeneity-aware Mixing for Decentralized Learning Yatin Dandi Anastasia Koloskova Martin Jaggi Sebastian U. Stich 43 18 0 13 Apr 2022
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 92 108 0 05 Jul 2021
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance K. Fountoulakis M. Liu D. Gleich Michael W. Mahoney 29 11 0 20 Apr 2020