Cover Image

How Smoothing is N-simplicial Attention?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dussolle, Alexandre, Liò, Pietro
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Mechanistic Interpretability of Graph Transformers via Attention Graphs
by: El, Batu, et al.
Published: (2025)

CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
by: Purves, Carlos, et al.
Published: (2026)

GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning
by: Sun, Zhongtian, et al.
Published: (2025)

How Particle System Theory Enhances Hypergraph Message Passing
by: Ma, Yixuan, et al.
Published: (2025)

Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning
by: Sun, Zhongtian, et al.
Published: (2025)

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

Algebraic Priors for Approximately Equivariant Networks
by: Ali, Riccardo, et al.
Published: (2025)

KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis
by: Logothetis, Stelios Boulitsakis, et al.
Published: (2026)

Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
by: Cornelio, Cristina, et al.
Published: (2025)

GenRec: Generative Sequential Recommendation with Large Language Models
by: Cao, Panfeng, et al.
Published: (2024)

MoRE-GNN: Multi-omics Data Integration with a Heterogeneous Graph Autoencoder
by: Wang, Zhiyu, et al.
Published: (2025)

KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis
by: Zuo, Kaiwen, et al.
Published: (2024)

Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations
by: Ashworth, Cassidy, et al.
Published: (2025)

Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
by: Borgi, Alessio, et al.
Published: (2025)

FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models
by: Zhu, Max, et al.
Published: (2024)

An end-to-end attention-based approach for learning on graphs
by: Buterez, David, et al.
Published: (2024)

Will More Expressive Graph Neural Networks do Better on Generative Tasks?
by: Zou, Xiandong, et al.
Published: (2023)

UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration
by: Chen, Xingsheng, et al.
Published: (2026)

xAI-Drop: Don't Use What You Cannot Explain
by: De Luca, Vincenzo Marco, et al.
Published: (2024)

TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting
by: Margeloiu, Andrei, et al.
Published: (2024)

Sheaves Reloaded: A Directional Awakening
by: Fiorini, Stefano, et al.
Published: (2025)

Metric Learning for Clifford Group Equivariant Neural Networks
by: Ali, Riccardo, et al.
Published: (2024)

How to make Medical AI Systems safer? Simulating Vulnerabilities, and Threats in Multimodal Medical RAG System
by: Zuo, Kaiwen, et al.
Published: (2025)

Neural Algorithmic Reasoning with Multiple Correct Solutions
by: Kujawa, Zeno, et al.
Published: (2024)

EU-Nets: Enhanced, Explainable and Parsimonious U-Nets
by: Sun, B., et al.
Published: (2025)

UESA-Net: U-Shaped Embedded Multidirectional Shrinkage Attention Network for Ultrasound Nodule Segmentation
by: Shi, Tangqi, et al.
Published: (2025)

Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding
by: Jain, Rishabh, et al.
Published: (2026)

Explaining the Explainers in Graph Neural Networks: a Comparative Study
by: Longa, Antonio, et al.
Published: (2022)

Calibrated Language Models and How to Find Them with Label Smoothing
by: Huang, Jerry, et al.
Published: (2025)

Entropy-Lens: Uncovering Decision Strategies in LLMs
by: Ali, Riccardo, et al.
Published: (2025)

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
by: Zhang, Qianru, et al.
Published: (2025)

Attention Smoothing Is All You Need For Unlearning
by: Zade, Saleh Zare, et al.
Published: (2026)

Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions
by: Zhao, Kyrie, et al.
Published: (2026)

HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily
by: Li, Xinyi, et al.
Published: (2026)

Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
by: Longa, Antonio, et al.
Published: (2023)

How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
by: Ding, Wenjun, et al.
Published: (2024)

Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning
by: Debot, David, et al.
Published: (2025)

MODE: Efficient Time Series Prediction with Mamba Enhanced by Low-Rank Neural ODEs
by: Chen, Xingsheng, et al.
Published: (2026)

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach
by: Bejani, Mehdi, et al.
Published: (2025)

Fast and Interpretable Protein Substructure Alignment via Optimal Transport
by: Wang, Zhiyu, et al.
Published: (2025)