De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs

17 September 2022

Papers citing "De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs"

4 / 4 papers shown

Title
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs J. V. Pichowski Vincenzo Perri Lisi Qarkaxhija Ingo Scholtes 45 0 0 24 Jun 2024
Exploring Causal Learning through Graph Neural Networks: An In-depth Review Simi Job Xiaohui Tao Taotao Cai Haoran Xie Lin Li Jianming Yong Qing Li CML AI4CE 38 5 0 25 Nov 2023
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium Vincenzo Perri Lisi Qarkaxhija Albin Zehe Andreas Hotho Ingo Scholtes AI4CE 11 4 0 14 Oct 2022
Message passing all the way up Petar Velickovic 113 63 0 22 Feb 2022