Permutation-Invariant Variational Autoencoder for Graph-Level
Representation Learning

Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning

20 April 2021

Frank Noé

Djork-Arné Clevert

Papers citing "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning"

10 / 10 papers shown

Title
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms Shuaiqun Pan Yash J. Patel Aneta Neumann Frank Neumann Thomas Bäck Hao Wang 36 0 0 30 Jan 2025
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings Nikolaos Nakis Chrysoula Kosma Giannis Nikolentzos Michalis Chatzianastasis Iakovos Evdaimon Michalis Vazirgiannis 36 1 0 16 Sep 2024
Self-supervised Photographic Image Layout Representation Learning Zhaoran Zhao Peng Lu Xujun Peng Wenhao Guo SSL 32 0 0 06 Mar 2024
Interpreting Equivariant Representations Andreas Abildtrup Hansen Anna Calissano Aasa Feragen 45 1 0 23 Jan 2024
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries Alonso Urbano David W. Romero 15 1 0 19 Dec 2023
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries Aryan Pedawi P. Gniewek Chao-Ling Chang Brandon M. Anderson H. V. D. Bedem 17 5 0 19 Oct 2022
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 191 885 0 07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,332 0 12 Feb 2018
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 162 1,775 0 02 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,234 0 24 Nov 2016