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2104.09856
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Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
Neural Information Processing Systems (NeurIPS), 2021
20 April 2021
R. Winter
Frank Noé
Djork-Arné Clevert
BDL
SSL
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Papers citing
"Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning"
15 / 15 papers shown
Generative Models for Crystalline Materials
Houssam Metni
Laura Ruple
Lauren N. Walters
Luca Torresi
Jonas Teufel
...
Paul Link
Lukas Bär
Mariana Petrova
Gerbrand Ceder
Pascal Friederich
AI4CE
240
0
0
27 Nov 2025
The quest for the GRAph Level autoEncoder (GRALE)
Paul Krzakala
Gabriel Melo
Charlotte Laclau
Florence dÁlché-Buc
Rémi Flamary
399
2
0
28 May 2025
RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
Alonso Urbano
David W. Romero
Max Zimmer
Sebastian Pokutta
403
0
0
19 May 2025
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2025
Shuaiqun Pan
Yash J. Patel
Aneta Neumann
Frank Neumann
Thomas Bäck
Hao Wang
521
0
0
30 Jan 2025
Whole-Graph Representation Learning For the Classification of Signed Networks
IEEE Access (IEEE Access), 2024
Noé Cecillon
Vincent Labatut
Richard Dufour
Nejat Arınık
GNN
161
4
0
30 Sep 2024
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Nikolaos Nakis
Chrysoula Kosma
Giannis Nikolentzos
Michalis Chatzianastasis
Iakovos Evdaimon
Michalis Vazirgiannis
542
4
0
16 Sep 2024
Self-supervised Photographic Image Layout Representation Learning
Zhaoran Zhao
Peng Lu
Xujun Peng
Wenhao Guo
SSL
214
0
0
06 Mar 2024
Interpreting Equivariant Representations
International Conference on Machine Learning (ICML), 2024
Andreas Abildtrup Hansen
Anna Calissano
Aasa Feragen
404
2
0
23 Jan 2024
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries
Alonso Urbano
David W. Romero
455
5
0
19 Dec 2023
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning
Hanxuan Yang
Qingchao Kong
Wenji Mao
BDL
239
0
0
09 Dec 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Neural Information Processing Systems (NeurIPS), 2023
Jinwoo Kim
Tien Dat Nguyen
Ayhan Suleymanzade
Hyeokjun An
Seunghoon Hong
445
30
0
05 Jun 2023
Improving Graph Generation by Restricting Graph Bandwidth
International Conference on Machine Learning (ICML), 2023
N. Diamant
Alex Tseng
Kangway V Chuang
Tommaso Biancalani
Gabriele Scalia
353
15
0
25 Jan 2023
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries
Neural Information Processing Systems (NeurIPS), 2022
Aryan Pedawi
P. Gniewek
Chao-Ling Chang
Brandon M. Anderson
H. V. D. Bedem
234
9
0
19 Oct 2022
Unsupervised Learning of Group Invariant and Equivariant Representations
Neural Information Processing Systems (NeurIPS), 2022
R. Winter
Marco Bertolini
Tuan Le
Frank Noé
Djork-Arné Clevert
324
53
0
15 Feb 2022
Generating stable molecules using imitation and reinforcement learning
S. A. Meldgaard
Jonas Köhler
H. L. Mortensen
Mads-Peter V. Christiansen
Frank Noé
B. Hammer
451
16
0
11 Jul 2021
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