Computing Systemic Risk Measures with Graph Neural Networks

30 September 2024

Papers citing "Computing Systemic Risk Measures with Graph Neural Networks"

7 / 7 papers shown

Title
A Review on Graph Neural Network Methods in Financial Applications Jianian Wang Shenmin Zhang Yanghua Xiao Rui Song AI4TS 62 108 0 27 Nov 2021
On the approximation capability of GNNs in node classification/regression tasks Giuseppe Alessio D’Inverno Monica Bianchini M. Sampoli F. Scarselli 60 12 0 16 Jun 2021
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,515 0 20 Dec 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 238 7,642 0 01 Oct 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 468 20,124 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 498 15,232 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 588 7,443 0 04 Apr 2017