PushNet: Efficient and Adaptive Neural Message Passing

4 March 2020

Papers citing "PushNet: Efficient and Adaptive Neural Message Passing"

7 / 7 papers shown

Title
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification Sandra Gilhuber Julian Busch Daniel Rotthues Christian M. m. Frey Thomas Seidl DiffM 18 1 0 31 Jul 2023
Reactive Message Passing for Scalable Bayesian Inference Dmitry V. Bagaev Bert De Vries 22 18 0 25 Dec 2021
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification Julian Busch Anton Kocheturov Volker Tresp Thomas Seidl 12 49 0 05 Mar 2021
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono Taiji Suzuki AI4CE 27 31 0 15 Jun 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,809 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016