edGNN: a Simple and Powerful GNN for Directed Labeled Graphs

edGNN: a Simple and Powerful GNN for Directed Labeled Graphs

18 April 2019

Guillaume Jaume

María Rodríguez Martínez

Jean-Philippe Thiran

Papers citing "edGNN: a Simple and Powerful GNN for Directed Labeled Graphs"

6 / 6 papers shown

Title
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 43 1 0 09 Oct 2024
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 22 56 0 17 May 2023
Directed Graph Auto-Encoders Georgios Kollias Vasileios Kalantzis Tsuyoshi Idé A. Lozano Naoki Abe BDL GNN 30 34 0 25 Feb 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 39 11 0 13 Jan 2022
GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks Mehrdad Kiamari Bhaskar Krishnamachari GNN 13 9 0 22 Oct 2021
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework Floris Geerts Filip Mazowiecki Guillermo A. Pérez GNN 24 38 0 06 Apr 2020