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Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling

Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling

4 February 2025
Markus Krimmel
Jenna Wiens
Karsten Borgwardt
Dexiong Chen
ArXivPDFHTML

Papers citing "Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling"

14 / 14 papers shown
Title
Graph Diffusion Policy Optimization
Graph Diffusion Policy Optimization
Yijing Liu
Chao Du
Tianyu Pang
Chongxuan Li
Wei Chen
Min Lin
56
7
0
26 Feb 2024
Recipe for a General, Powerful, Scalable Graph Transformer
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek
Mikhail Galkin
Vijay Prakash Dwivedi
Anh Tuan Luu
Guy Wolf
Dominique Beaini
102
556
0
25 May 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits
  of One-shot Graph Generators
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
Karolis Martinkus
Andreas Loukas
Nathanael Perraudin
Roger Wattenhofer
62
68
0
04 Apr 2022
Graph Filtration Kernels
Graph Filtration Kernels
Till Hendrik Schulz
Pascal Welke
Stefanie Wrobel
48
12
0
22 Oct 2021
Structured Denoising Diffusion Models in Discrete State-Spaces
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
DiffM
109
900
0
07 Jul 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
381
2,638
0
04 May 2021
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node
  Representation Learning
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
47
188
0
30 Oct 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
297
931
0
02 Mar 2020
DeepScaffold: a comprehensive tool for scaffold-based de novo drug
  discovery using deep learning
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
Yibo Li
Jianxing Hu
Yanxing Wang
Jielong Zhou
L. Zhang
Zhenming Liu
41
94
0
20 Aug 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
173
7,554
0
01 Oct 2018
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
267
895
0
07 Jun 2018
GraphVAE: Towards Generation of Small Graphs Using Variational
  Autoencoders
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
M. Simonovsky
N. Komodakis
GNN
BDL
89
842
0
09 Feb 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
236
18,685
0
20 Jul 2017
Sequence Level Training with Recurrent Neural Networks
Sequence Level Training with Recurrent Neural Networks
MarcÁurelio Ranzato
S. Chopra
Michael Auli
Wojciech Zaremba
70
1,611
0
20 Nov 2015
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