ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.07087
  4. Cited By
Graph Deconvolutional Generation

Graph Deconvolutional Generation

14 February 2020
Daniel Flam-Shepherd
Tony C Wu
Alán Aspuru-Guzik
    BDL
ArXivPDFHTML

Papers citing "Graph Deconvolutional Generation"

8 / 8 papers shown
Title
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks
Xiao Yue
Guangzhi Qu
Lige Gan
GAN
FAtt
AI4CE
63
0
0
08 Mar 2025
Overcoming Order in Autoregressive Graph Generation
Overcoming Order in Autoregressive Graph Generation
Edo Cohen-Karlik
Eyal Rozenberg
Daniel Freedman
30
1
0
04 Feb 2024
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural
  Network
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
Akihiro Kishimoto
Hiroshi Kajino
Masataka Hirose
Junta Fuchiwaki
Indra Priyadarsini
Lisa Hamada
Hajime Shinohara
D. Nakano
Seiji Takeda
AI4CE
22
4
0
28 Sep 2023
Gransformer: Transformer-based Graph Generation
Gransformer: Transformer-based Graph Generation
Ahmad Khajenezhad
Seyed Ali Osia
Mahmood Karimian
H. Beigy
14
2
0
25 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications
A Survey on Deep Graph Generation: Methods and Applications
Yanqiao Zhu
Yuanqi Du
Yinkai Wang
Yichen Xu
Jieyu Zhang
Qiang Liu
Shu Wu
3DV
GNN
31
67
0
13 Mar 2022
A Systematic Survey on Deep Generative Models for Graph Generation
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo
Liang Zhao
MedIm
35
146
0
13 Jul 2020
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
203
885
0
07 Jun 2018
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
1