Hierarchical Graph Neural Networks for Causal Discovery and Root Cause
Localization

Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization

3 February 2023

Zhengzhang Chen

Zheng Wang

Papers citing "Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization"

8 / 8 papers shown

Title
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Ailin Deng Bryan Hooi AI4TS 39 860 0 13 Jun 2021
Neural graphical modelling in continuous-time: consistency guarantees and algorithms Alexis Bellot K. Branson M. Schaar CML AI4TS 46 45 0 06 May 2021
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs Ignavier Ng AmirEmad Ghassami Kun Zhang CML 34 189 0 17 Jun 2020
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets Jakob Runge 39 187 0 07 Mar 2020
DYNOTEARS: Structure Learning from Time-Series Data Roxana Pamfil Nisara Sriwattanaworachai Shaan Desai Philip Pilgerstorfer Paul Beaumont K. Georgatzis Bryon Aragam CML AI4TS BDL 55 188 0 02 Feb 2020
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 50 925 0 04 Mar 2018
Survey on Models and Techniques for Root-Cause Analysis Marc Solé V. Muntés-Mulero Annie Ibrahim Rana G. Estrada 33 94 0 30 Jan 2017
Theory of Rumour Spreading in Complex Social Networks M. Nekovee Y. Moreno G. Bianconi M. Marsili 73 721 0 09 Jul 2008