:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zaz, Brown, Català, Mar Gonzàlez I, Caralt, Ferran Hernandez, Eliasof, Moshe, Liò, Pietro
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.20248
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Necessity of Learnable Sheaf Laplacians
by: Caralt, Ferran Hernandez, et al.
Published: (2026)

Global-Local Graph Neural Networks for Node-Classification
by: Eliasof, Moshe, et al.
Published: (2024)

Revisiting Node Affinity Prediction in Temporal Graphs
by: Feldman, Or, et al.
Published: (2025)

Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks
by: Caralt, Ferran Hernandez, et al.
Published: (2024)

Renormalized Graph Representations for Node Classification
by: Caso, Francesco, et al.
Published: (2023)

Quadratic Binary Optimization with Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)

Towards Invariance to Node Identifiers in Graph Neural Networks
by: Bechler-Speicher, Maya, et al.
Published: (2025)

A General Recipe for Contractive Graph Neural Networks -- Technical Report
by: Bechler-Speicher, Maya, et al.
Published: (2024)

Graph Neural Reaction Diffusion Models
by: Eliasof, Moshe, et al.
Published: (2024)

Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs
by: Maneriker, Pranav, et al.
Published: (2024)

On the Utilization of Unique Node Identifiers in Graph Neural Networks
by: Bechler-Speicher, Maya, et al.
Published: (2024)

The Stepwise Informativeness Assumption: Why are Entropy Dynamics and Reasoning Correlated in LLMs?
by: Català, Mar Gonzàlez I, et al.
Published: (2026)

HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
by: Bazaga, Adrián, et al.
Published: (2024)

TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows
by: Eliasof, Moshe, et al.
Published: (2025)

Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification
by: Park, MoonJeong, et al.
Published: (2026)

Learning from Historical Activations in Graph Neural Networks
by: Galron, Yaniv, et al.
Published: (2026)

On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)

GRANOLA: Adaptive Normalization for Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)

Subgraph Concept Networks: Concept Levels in Graph Classification
by: Magister, Lucie Charlotte, et al.
Published: (2026)

On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation
by: Yu, Bing, et al.
Published: (2020)

SPHINX: Structural Prediction using Hypergraph Inference Network
by: Duta, Iulia, et al.
Published: (2024)

Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields
by: Siddiqui, Md Shahriar Rahim, et al.
Published: (2025)

Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach
by: Eliasof, Moshe, et al.
Published: (2023)

Learning Regularization for Graph Inverse Problems
by: Eliasof, Moshe, et al.
Published: (2024)

Leveraging graph neural networks for supporting Automatic Triage of Patients
by: Defilippo, Annamaria, et al.
Published: (2024)

On the Effectiveness of Random Weights in Graph Neural Networks
by: Bui, Thu, et al.
Published: (2025)

Towards Improved Sentence Representations using Token Graphs
by: Mantri, Krishna Sri Ipsit, et al.
Published: (2026)

UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
by: Teimuri, Mohammad T., et al.
Published: (2025)

Concept Graph Convolutions: Message Passing in the Concept Space
by: Magister, Lucie Charlotte, et al.
Published: (2026)

On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
by: Gravina, Alessio, et al.
Published: (2024)

An Over Complete Deep Learning Method for Inverse Problems
by: Eliasof, Moshe, et al.
Published: (2024)

Towards Efficient Training of Graph Neural Networks: A Multiscale Approach
by: Gal, Eshed, et al.
Published: (2025)

Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
by: Huang, Jincheng, et al.
Published: (2024)

PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers
by: Gal, Eshed, et al.
Published: (2026)

Multiscale Training of Convolutional Neural Networks
by: Ahamed, Shadab, et al.
Published: (2025)

Advection Augmented Convolutional Neural Networks
by: Zakariaei, Niloufar, et al.
Published: (2024)

An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
by: Huang, Keke, et al.
Published: (2023)

Superposition in Graph Neural Networks
by: Pertl, Lukas, et al.
Published: (2025)

GRAMA: Adaptive Graph Autoregressive Moving Average Models
by: Eliasof, Moshe, et al.
Published: (2025)

iN2V: Bringing Transductive Node Embeddings to Inductive Graphs
by: Lell, Nicolas, et al.
Published: (2025)