Image de couverture de livre

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bechler-Speicher, Maya, Finkelshtein, Ben, Frasca, Fabrizio, Müller, Luis, Tönshoff, Jan, Siraudin, Antoine, Zaverkin, Viktor, Bronstein, Michael M., Niepert, Mathias, Perozzi, Bryan, Galkin, Mikhail, Morris, Christopher
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GraphBench: Next-generation graph learning benchmarking
par: Stoll, Timo, et autres
Publié: (2025)

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
par: Grötschla, Florian, et autres
Publié: (2025)

Attending to Graph Transformers
par: Müller, Luis, et autres
Publié: (2023)

Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
par: Southern, Joshua, et autres
Publié: (2025)

SMART: Scalable Mesh-free Aerodynamic Simulations from Raw Geometries using a Transformer-based Surrogate Model
par: Hagnberger, Jan, et autres
Publié: (2026)

Physics-Informed Weakly Supervised Learning for Interatomic Potentials
par: Takamoto, Makoto, et autres
Publié: (2024)

Probabilistically Rewired Message-Passing Neural Networks
par: Qian, Chendi, et autres
Publié: (2023)

Future Directions in the Theory of Graph Machine Learning
par: Morris, Christopher, et autres
Publié: (2024)

CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs
par: Hagnberger, Jan, et autres
Publié: (2025)

Performance of universal machine-learned potentials with explicit long-range interactions in biomolecular simulations
par: Zaverkin, Viktor, et autres
Publié: (2025)

Covered Forest: Fine-grained generalization analysis of graph neural networks
par: Vasileiou, Antonis, et autres
Publié: (2024)

Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
par: Hagnberger, Jan, et autres
Publié: (2024)

Exploring the Performance-Reproducibility Trade-off in Quality-Diversity
par: Flageat, Manon, et autres
Publié: (2024)

Active Learning for Neural PDE Solvers
par: Musekamp, Daniel, et autres
Publié: (2024)

Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs
par: Frasca, Fabrizio, et autres
Publié: (2024)

A General Recipe for Contractive Graph Neural Networks -- Technical Report
par: Bechler-Speicher, Maya, et autres
Publié: (2024)

Principled Latent Diffusion for Graphs via Laplacian Autoencoders
par: Siraudin, Antoine, et autres
Publié: (2026)

Large Language Models as In-context AI Generators for Quality-Diversity
par: Lim, Bryan, et autres
Publié: (2024)

Adaptive Width Neural Networks
par: Errica, Federico, et autres
Publié: (2025)

CoLaNET -- A Spiking Neural Network with Columnar Layered Architecture for Classification
par: Kiselev, Mikhail
Publié: (2024)

A Digital Machine Learning Algorithm Simulating Spiking Neural Network CoLaNET
par: Kiselev, Mikhail
Publié: (2025)

Classifying Images with CoLaNET Spiking Neural Network -- the MNIST Example
par: Kiselev, Mikhail
Publié: (2024)

Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
par: Flageat, Manon, et autres
Publié: (2023)

Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity
par: Faldor, Maxence, et autres
Publié: (2024)

Convolutional Spiking Neural Network for Image Classification
par: Kiselev, Mikhail, et autres
Publié: (2025)

Combining Relevance and Magnitude for Resource-Aware DNN Pruning
par: Chiasserini, Carla Fabiana, et autres
Publié: (2024)

Cold Seep Communities in the Sea of Japan Are Species‐Poor and Dominated by a New Species of Provannid Snail
par: Chong Chen, et autres
Publié: (2026)

Toward Relative Positional Encoding in Spiking Transformers
par: Lv, Changze, et autres
Publié: (2025)

Space as Time Through Neuron Position Learning
par: Mészáros, Balázs, et autres
Publié: (2025)

Structure from rank: Rank-order coding as a bridge from sequence to structure
par: Chen, Xiaodan, et autres
Publié: (2026)

Improving LLM Final Representations with Inter-Layer Geometry
par: Ulanovski, Tom, et autres
Publié: (2026)

Cayley Graph Propagation
par: Wilson, JJ, et autres
Publié: (2024)

GraIP: A Benchmarking Framework For Neural Graph Inverse Problems
par: Cantürk, Semih, et autres
Publié: (2026)

Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies
par: Templier, Paul, et autres
Publié: (2024)

Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
par: Errica, Federico, et autres
Publié: (2023)

Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity
par: Coiffard, Lisa, et autres
Publié: (2025)

Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains
par: Flageat, Manon, et autres
Publié: (2025)

Linear Ordering Problem: Time for a Change
par: Fagiolo, Fabrizio, et autres
Publié: (2026)

LLM Guided Evolution -- The Automation of Models Advancing Models
par: Morris, Clint, et autres
Publié: (2024)

Limited Migration From Physiological Refugia Constrains the Rescue of Native Gastropods Facing an Invasive Predator
par: Mathilde Salamon, et autres
Publié: (2024)