:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Snelleman, T., Renting, B. M., Hoos, H. H., van Rijn, J. N.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2409.11856
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Automated Reproducibility Has a Problem Statement Problem
di: Snelleman, Thijs, et al.
Pubblicazione: (2025)

Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
di: König, Matthias, et al.
Pubblicazione: (2024)

Towards General Negotiation Strategies with End-to-End Reinforcement Learning
di: Renting, Bram M., et al.
Pubblicazione: (2024)

Learning Curves for Decision Making in Supervised Machine Learning: A Survey
di: Mohr, Felix, et al.
Pubblicazione: (2022)

On the Efficiency of Training Robust Decision Trees
di: Gerlach, Benedict, et al.
Pubblicazione: (2025)

Geometry-Aware Edge Pooling for Graph Neural Networks
di: Limbeck, Katharina, et al.
Pubblicazione: (2025)

Beyond the Single-Best Model: Rashomon Partial Dependence Profile for Trustworthy Explanations in AutoML
di: Cavus, Mustafa, et al.
Pubblicazione: (2025)

Rethinking Evaluation Paradigms in IBP-based Certified Training
di: Kaulen, Konstantin, et al.
Pubblicazione: (2026)

Combining Automated Optimisation of Hyperparameters and Reward Shape
di: Dierkes, Julian, et al.
Pubblicazione: (2024)

BN-Pool: Bayesian Nonparametric Pooling for Graphs
di: Castellana, Daniele, et al.
Pubblicazione: (2025)

ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
di: Zhao, Zhehan, et al.
Pubblicazione: (2024)

MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length
di: von Pichowski, Jan, et al.
Pubblicazione: (2024)

SpaPool: Soft Partition Assignment Pooling for__Graph Neural Networks
di: Govan, Rodrigue, et al.
Pubblicazione: (2025)

Graph Pooling by Local Cluster Selection
di: Chen, Yizhu
Pubblicazione: (2024)

Graph Pooling via Ricci Flow
di: Feng, Amy, et al.
Pubblicazione: (2024)

The Role of Node Features in Graph Pooling
di: von Pichowski, Jan, et al.
Pubblicazione: (2026)

Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs
di: Su, Zhixiang, et al.
Pubblicazione: (2025)

Linear Opinion Pooling for Uncertainty Quantification on Graphs
di: Damke, Clemens, et al.
Pubblicazione: (2024)

Classifier Pooling for Modern Ordinal Classification
di: Rotenberg, Noam H., et al.
Pubblicazione: (2026)

Boosting Graph Pooling with Persistent Homology
di: Ying, Chaolong, et al.
Pubblicazione: (2024)

Understanding Pooling in Graph Neural Networks
di: Grattarola, Daniele, et al.
Pubblicazione: (2021)

On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing
di: Dong, Zeming, et al.
Pubblicazione: (2022)

GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
di: Xiao, Wenjing, et al.
Pubblicazione: (2025)

Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction
di: Schweidtmann, Artur M., et al.
Pubblicazione: (2022)

Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models
di: Ennadir, Sofiane, et al.
Pubblicazione: (2025)

Enhancing Graph Classification Robustness with Singular Pooling
di: Ennadir, Sofiane, et al.
Pubblicazione: (2025)

ICEPool: Enhancing Graph Pooling Networks with Inter-cluster Connectivity
di: Yang, Michael
Pubblicazione: (2025)

Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA
di: Grover, Ankit, et al.
Pubblicazione: (2026)

Gradient-Discrepancy Acquisition for Pool-Based Active Learning
di: Khosravani, Mohamadsadegh, et al.
Pubblicazione: (2026)

A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
di: Wang, Pengyun, et al.
Pubblicazione: (2024)

LGRPool: Hierarchical Graph Pooling Via Local-Global Regularisation
di: Noravesh, Farshad, et al.
Pubblicazione: (2025)

Subgraph Pooling: Tackling Negative Transfer on Graphs
di: Wang, Zehong, et al.
Pubblicazione: (2024)

Torch Geometric Pool: the PyTorch library for pooling in Graph Neural Networks
di: Abate, Carlo, et al.
Pubblicazione: (2025)

DeepJ: Graph Convolutional Transformers with Differentiable Pooling for Patient Trajectory Modeling
di: Li, Deyi, et al.
Pubblicazione: (2025)

Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning
di: Huseljic, Denis, et al.
Pubblicazione: (2025)

Contrastive Graph Pooling for Explainable Classification of Brain Networks
di: Xu, Jiaxing, et al.
Pubblicazione: (2023)

Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
di: Bianchi, Filippo Maria, et al.
Pubblicazione: (2019)

Learning on the Edge: Online Learning with Stochastic Feedback Graphs
di: Esposito, Emmanuel, et al.
Pubblicazione: (2022)

Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks
di: Kocher, Nick, et al.
Pubblicazione: (2025)

Feature Weighting Improves Pool-Based Sequential Active Learning for Regression
di: Wu, Dongrui
Pubblicazione: (2026)