Saved in:
| Main Authors: | Mohammed, Marco Mustafa, Daneshfar, Fatemeh, Liò, Pietro |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.03750 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Remember to Forget: Gated Adaptive Positional Encoding
by: Ali, Riccardo, et al.
Published: (2026)
by: Ali, Riccardo, et al.
Published: (2026)
Wasserstein Hypergraph Neural Network
by: Duta, Iulia, et al.
Published: (2025)
by: Duta, Iulia, et al.
Published: (2025)
SPHINX: Structural Prediction using Hypergraph Inference Network
by: Duta, Iulia, et al.
Published: (2024)
by: Duta, Iulia, et al.
Published: (2024)
Neural Bipartite Matching
by: Georgiev, Dobrik, et al.
Published: (2020)
by: Georgiev, Dobrik, et al.
Published: (2020)
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
by: Zahoor, Sheresh, et al.
Published: (2025)
by: Zahoor, Sheresh, et al.
Published: (2025)
ECG-NAT: A Self-supervised Neighborhood Attention Transformer for Multi-lead Electrocardiogram Classification
by: Gazeran, Mahsa, et al.
Published: (2026)
by: Gazeran, Mahsa, et al.
Published: (2026)
CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
by: Purves, Carlos, et al.
Published: (2026)
by: Purves, Carlos, et al.
Published: (2026)
How Smoothing is N-simplicial Attention?
by: Dussolle, Alexandre, et al.
Published: (2025)
by: Dussolle, Alexandre, et al.
Published: (2025)
On the Sheafification of Higher-Order Message Passing
by: Hume, Jacob, et al.
Published: (2025)
by: Hume, Jacob, et al.
Published: (2025)
An Empirical Investigation of Neural ODEs and Symbolic Regression for Dynamical Systems
by: Ioannou, Panayiotis, et al.
Published: (2026)
by: Ioannou, Panayiotis, et al.
Published: (2026)
Concept Graph Convolutions: Message Passing in the Concept Space
by: Magister, Lucie Charlotte, et al.
Published: (2026)
by: Magister, Lucie Charlotte, et al.
Published: (2026)
Topotein: Topological Deep Learning for Protein Representation Learning
by: Wang, Zhiyu, et al.
Published: (2025)
by: Wang, Zhiyu, et al.
Published: (2025)
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
by: Huang, Keke, et al.
Published: (2023)
by: Huang, Keke, et al.
Published: (2023)
The Deep Equilibrium Algorithmic Reasoner
by: Georgiev, Dobrik, et al.
Published: (2024)
by: Georgiev, Dobrik, et al.
Published: (2024)
Predicting time-varying flux and balance in metabolic systems using structured neural-ODE processes
by: Rathod, Santanu, et al.
Published: (2024)
by: Rathod, Santanu, et al.
Published: (2024)
GenRec: Generative Sequential Recommendation with Large Language Models
by: Cao, Panfeng, et al.
Published: (2024)
by: Cao, Panfeng, et al.
Published: (2024)
Leveraging graph neural networks for supporting Automatic Triage of Patients
by: Defilippo, Annamaria, et al.
Published: (2024)
by: Defilippo, Annamaria, et al.
Published: (2024)
Density-Informed Pseudo-Counts for Calibrated Evidential Deep Learning
by: Carlotti, Pietro, et al.
Published: (2026)
by: Carlotti, Pietro, et al.
Published: (2026)
SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants
by: Rathod, Santanu Subhash, et al.
Published: (2026)
by: Rathod, Santanu Subhash, et al.
Published: (2026)
Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning
by: Sun, Zhongtian, et al.
Published: (2025)
by: Sun, Zhongtian, et al.
Published: (2025)
A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways
by: Bardozzo, Francesco, et al.
Published: (2020)
by: Bardozzo, Francesco, et al.
Published: (2020)
Language Model Knowledge Distillation for Efficient Question Answering in Spanish
by: Bazaga, Adrián, et al.
Published: (2023)
by: Bazaga, Adrián, et al.
Published: (2023)
Superposition in Graph Neural Networks
by: Pertl, Lukas, et al.
Published: (2025)
by: Pertl, Lukas, et al.
Published: (2025)
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation
by: Bazaga, Adrián, et al.
Published: (2023)
by: Bazaga, Adrián, et al.
Published: (2023)
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
by: Bazaga, Adrián, et al.
Published: (2024)
by: Bazaga, Adrián, et al.
Published: (2024)
Unsupervised Pretraining for Fact Verification by Language Model Distillation
by: Bazaga, Adrián, et al.
Published: (2023)
by: Bazaga, Adrián, et al.
Published: (2023)
Algebraic Priors for Approximately Equivariant Networks
by: Ali, Riccardo, et al.
Published: (2025)
by: Ali, Riccardo, et al.
Published: (2025)
Decoding the Stressed Brain with Geometric Machine Learning
by: Koszut, Sonia, et al.
Published: (2025)
by: Koszut, Sonia, et al.
Published: (2025)
xAI-Drop: Don't Use What You Cannot Explain
by: De Luca, Vincenzo Marco, et al.
Published: (2024)
by: De Luca, Vincenzo Marco, et al.
Published: (2024)
Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
by: Cornelio, Cristina, et al.
Published: (2025)
by: Cornelio, Cristina, et al.
Published: (2025)
Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations
by: Ashworth, Cassidy, et al.
Published: (2025)
by: Ashworth, Cassidy, et al.
Published: (2025)
FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models
by: Zhu, Max, et al.
Published: (2024)
by: Zhu, Max, et al.
Published: (2024)
Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
by: Borgi, Alessio, et al.
Published: (2025)
by: Borgi, Alessio, et al.
Published: (2025)
Sheaf Hypergraph Networks
by: Duta, Iulia, et al.
Published: (2023)
by: Duta, Iulia, et al.
Published: (2023)
TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality
by: Vonessen, Carlos, et al.
Published: (2025)
by: Vonessen, Carlos, et al.
Published: (2025)
Deep Equilibrium Algorithmic Reasoning
by: Georgiev, Dobrik, et al.
Published: (2024)
by: Georgiev, Dobrik, et al.
Published: (2024)
KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis
by: Logothetis, Stelios Boulitsakis, et al.
Published: (2026)
by: Logothetis, Stelios Boulitsakis, et al.
Published: (2026)
Subgraph Concept Networks: Concept Levels in Graph Classification
by: Magister, Lucie Charlotte, et al.
Published: (2026)
by: Magister, Lucie Charlotte, et al.
Published: (2026)
E(n) Equivariant Message Passing Cellular Networks
by: Kovač, Veljko, et al.
Published: (2024)
by: Kovač, Veljko, et al.
Published: (2024)
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts
by: Su, Shiye, et al.
Published: (2024)
by: Su, Shiye, et al.
Published: (2024)
Similar Items
-
Remember to Forget: Gated Adaptive Positional Encoding
by: Ali, Riccardo, et al.
Published: (2026) -
Wasserstein Hypergraph Neural Network
by: Duta, Iulia, et al.
Published: (2025) -
SPHINX: Structural Prediction using Hypergraph Inference Network
by: Duta, Iulia, et al.
Published: (2024) -
Neural Bipartite Matching
by: Georgiev, Dobrik, et al.
Published: (2020) -
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
by: Zahoor, Sheresh, et al.
Published: (2025)