Cover Image

GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bresson, Roman, Divriotis, Konstantinos, Lutzeyer, Johannes F., Evdaimon, Iakovos, Vazirgiannis, Michalis
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
by: Nakis, Nikolaos, et al.
Published: (2024)

Obtaining Example-Based Explanations from Deep Neural Networks
by: Dong, Genghua, et al.
Published: (2025)

Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
by: Abbahaddou, Yassine, et al.
Published: (2024)

Graph Neural Networks on Discriminative Graphs of Words
by: Abbahaddou, Yassine, et al.
Published: (2024)

Graph Neural Machine: A New Model for Learning with Tabular Data
by: Nikolentzos, Giannis, et al.
Published: (2024)

Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
by: Evdaimon, Iakovos, et al.
Published: (2024)

Interpretable Graph Neural Networks for Tabular Data
by: Alkhatib, Amr, et al.
Published: (2023)

The Signed Two-Space Proximity Model for Learning Representations in Protein-Protein Interaction Networks
by: Nakis, Nikolaos, et al.
Published: (2025)

Explaining Predictions by Characteristic Rules
by: Alkhatib, Amr, et al.
Published: (2024)

Centrality Graph Shift Operators for Graph Neural Networks
by: Abbahaddou, Yassine, et al.
Published: (2024)

A Simple and Yet Fairly Effective Defense for Graph Neural Networks
by: Ennadir, Sofiane, et al.
Published: (2024)

Prediction via Shapley Value Regression
by: Alkhatib, Amr, et al.
Published: (2025)

ADMP-GNN: Adaptive Depth Message Passing GNN
by: Abbahaddou, Yassine, et al.
Published: (2025)

If You Want to Be Robust, Be Wary of Initialization
by: Ennadir, Sofiane, et al.
Published: (2025)

Graph Linearization Methods for Reasoning on Graphs with Large Language Models
by: Xypolopoulos, Christos, et al.
Published: (2024)

Enhancing Graph Classification Robustness with Singular Pooling
by: Ennadir, Sofiane, et al.
Published: (2025)

SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation
by: Yan, Qi, et al.
Published: (2023)

KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
by: Bresson, Roman, et al.
Published: (2024)

Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields
by: Abbahaddou, Yassine, et al.
Published: (2024)

Efficient Data Selection for Training Genomic Perturbation Models
by: Panagopoulos, George, et al.
Published: (2025)

Generalized Graph Transformer Variational Autoencoder
by: Karki, Siddhant
Published: (2025)

Graph Neural Network Generalization with Gaussian Mixture Model Based Augmentation
by: Abbahaddou, Yassine, et al.
Published: (2024)

Graph Reasoning with Large Language Models via Pseudo-code Prompting
by: Skianis, Konstantinos, et al.
Published: (2024)

Markovian Generation Chains in Large Language Models
by: Geng, Mingmeng, et al.
Published: (2026)

A Survey of Deep Learning: From Activations to Transformers
by: Schneider, Johannes, et al.
Published: (2023)

Reflective-Net: Learning from Explanations
by: Schneider, Johannes, et al.
Published: (2020)

Bidirectional Variational Autoencoders
by: Kosko, Bart, et al.
Published: (2025)

Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders
by: Stevens, Alexander, et al.
Published: (2024)

Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
by: Wang, Shouju, et al.
Published: (2025)

GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures
by: Yang, Yikang, et al.
Published: (2026)

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
by: Zhang, Zhanguang, et al.
Published: (2024)

Hellinger Multimodal Variational Autoencoders
by: Vo, Huyen, et al.
Published: (2026)

Shorter but not Worse: Frugal Reasoning via Easy Samples as Length Regularizers in Math RLVR
by: Bounhar, Abdelaziz, et al.
Published: (2025)

Bitcoin Research with a Transaction Graph Dataset
by: Schnoering, Hugo, et al.
Published: (2024)

Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning
by: Hu, Wenbin, et al.
Published: (2024)

Handling Distribution Shifts on Graphs: An Invariance Perspective
by: Wu, Qitian, et al.
Published: (2022)

Permutation Picture of Graph Combinatorial Optimization Problems
by: Min, Yimeng
Published: (2024)

GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR
by: Halder, Labani, et al.
Published: (2025)

Variational Autoencoders for Efficient Simulation-Based Inference
by: Nautiyal, Mayank, et al.
Published: (2024)

Adaptive Compression of the Latent Space in Variational Autoencoders
by: Sejnova, Gabriela, et al.
Published: (2023)