Imagen de Portada

Benchmarking Positional Encodings for GNNs and Graph Transformers

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Grötschla, Florian, Xie, Jiaqing, Wattenhofer, Roger
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Next Level Message-Passing with Hierarchical Support Graphs
por: Vonessen, Carlos, et al.
Publicado: (2024)

Benchmarking GNNs Using Lightning Network Data
por: Feichtinger, Rainer, et al.
Publicado: (2024)

On the Expressive Power of GNNs for Boolean Satisfiability
por: Peltonen, Saku, et al.
Publicado: (2026)

Parametric Neural Amp Modeling with Active Learning
por: Grötschla, Florian, et al.
Publicado: (2025)

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
por: Grötschla, Florian, et al.
Publicado: (2024)

Flood and Echo Net: Algorithmically Aligned GNNs that Generalize
por: Mathys, Joël, et al.
Publicado: (2023)

Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
por: Jordan, Philip, et al.
Publicado: (2024)

Understanding and Improving Laplacian Positional Encodings For Temporal GNNs
por: Galron, Yaniv, et al.
Publicado: (2025)

GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs
por: Grötschla, Florian, et al.
Publicado: (2024)

Graph Transformers without Positional Encodings
por: Garg, Ayush
Publicado: (2024)

Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
por: Lagesse, Adrien, et al.
Publicado: (2025)

Benchmarking Diarization Models
por: Lanzendörfer, Luca A., et al.
Publicado: (2025)

Inductive Transfer Learning for Graph-Based Recommenders
por: Grötschla, Florian, et al.
Publicado: (2025)

Benchmarking Music Generation Models and Metrics via Human Preference Studies
por: Grötschla, Florian, et al.
Publicado: (2025)

Rotary Position Encodings for Graphs
por: Reid, Isaac, et al.
Publicado: (2025)

PUZZLES: A Benchmark for Neural Algorithmic Reasoning
por: Estermann, Benjamin, et al.
Publicado: (2024)

N-vium: Mixture-of-Exits Transformer for Accelerated Exact Generation
por: Lorenc, Aleksander, et al.
Publicado: (2026)

Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs
por: Fan, Flint Xiaofeng, et al.
Publicado: (2025)

On the Stability of Expressive Positional Encodings for Graphs
por: Huang, Yinan, et al.
Publicado: (2023)

Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis
por: Li, Zhifei, et al.
Publicado: (2024)

I-RAVEN-X: Benchmarking Generalization and Robustness of Analogical and Mathematical Reasoning in Large Language and Reasoning Models
por: Camposampiero, Giacomo, et al.
Publicado: (2025)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
por: Xie, Jiaqing, et al.
Publicado: (2024)

Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings
por: Alvarez-Gonzalez, Nurudin, et al.
Publicado: (2023)

EEG-Bench: A Benchmark for EEG Foundation Models in Clinical Applications
por: Kastrati, Ard, et al.
Publicado: (2025)

Simple Path Structural Encoding for Graph Transformers
por: Airale, Louis, et al.
Publicado: (2025)

Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
por: Wijesinghe, Asiri, et al.
Publicado: (2025)

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks
por: Grillo, Niccolò, et al.
Publicado: (2025)

Provably Powerful Graph Neural Networks for Directed Multigraphs
por: Egressy, Béni, et al.
Publicado: (2023)

Algebraic Positional Encodings
por: Kogkalidis, Konstantinos, et al.
Publicado: (2023)

Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
por: Liao, Tongzhou, et al.
Publicado: (2024)

Graph Dimension Attention Networks for Enterprise Credit Assessment
por: Wei, Shaopeng, et al.
Publicado: (2024)

GraphBridge: Towards Arbitrary Transfer Learning in GNNs
por: Ju, Li, et al.
Publicado: (2025)

Could Chemical LLMs benefit from Message Passing
por: Xie, Jiaqing, et al.
Publicado: (2024)

Bias beyond Borders: Global Inequalities in AI-Generated Music
por: Solak, Ahmet, et al.
Publicado: (2025)

High-Fidelity Music Vocoder using Neural Audio Codecs
por: Lanzendörfer, Luca A., et al.
Publicado: (2025)

SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos
por: Dellali, Amir, et al.
Publicado: (2025)

A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
por: Liao, Ningyi, et al.
Publicado: (2024)

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
por: Yi, Lu, et al.
Publicado: (2025)

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
por: Wang, Kun, et al.
Publicado: (2024)

Strongly Topology-preserving GNNs for Brain Graph Super-resolution
por: Singh, Pragya, et al.
Publicado: (2024)