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A Graph Deep Learning Framework for High-Level Synthesis Design Space
  Exploration

A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration

29 November 2021
Lorenzo Ferretti
Andrea Cini
Georgios Zacharopoulos
C. Alippi
L. Pozzi
ArXivPDFHTML

Papers citing "A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration"

4 / 4 papers shown
Title
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework
E. Hellsten
Artur L. F. Souza
Johannes Lenfers
Rubens Lacouture
Olivia Hsu
Adel Ejjeh
Fredrik Kjolstad
Michel Steuwer
K. Olukotun
Luigi Nardi
11
16
0
01 Dec 2022
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
189
884
0
07 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
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
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
233
3,230
0
24 Nov 2016
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