Imagen de Portada

SpaPool: Soft Partition Assignment Pooling for__Graph Neural Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Govan, Rodrigue, Scherrer, Romane, Fournier-Viger, Philippe, Selmaoui-Folcher, Nazha
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GRIMP: A Genetic Algorithm for Compression‐Based Descriptive Pattern Mining
por: M. Zohaib Nawaz, et al.
Publicado: (2025)

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

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

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

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

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

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

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

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

Graph Pooling by Local Cluster Selection
por: Chen, Yizhu
Publicado: (2024)

Graph Pooling via Ricci Flow
por: Feng, Amy, et al.
Publicado: (2024)

Edge-Based Graph Component Pooling
por: Snelleman, T., et al.
Publicado: (2024)

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

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

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

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

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

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

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

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

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

UniPool: A Globally Shared Expert Pool for Mixture-of-Experts
por: Huang, Minbin, et al.
Publicado: (2026)

Poolformer: Recurrent Networks with Pooling for Long-Sequence Modeling
por: Fernández, Daniel Gallo
Publicado: (2025)

To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models
por: Cousins, Cyrus, et al.
Publicado: (2024)

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

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

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

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

Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments
por: Liang, Yile, et al.
Publicado: (2024)

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

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

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

One Pool, Two Caches: Adaptive HBM Partitioning for Accelerating Generative Recommender Serving
por: Yu, Wenjun, et al.
Publicado: (2026)

On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
por: Leterme, Hubert, et al.
Publicado: (2022)

Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling
por: Müller, Philip, et al.
Publicado: (2024)

Entity Matching by Pool-based Active Learning
por: Han, Youfang, et al.
Publicado: (2022)

From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
por: Baghershahi, Peyman, et al.
Publicado: (2025)

SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling
por: Dong, Zehao, et al.
Publicado: (2024)

Active Learning with Task-Driven Representations for Messy Pools
por: Ashouritaklimi, Kianoosh, et al.
Publicado: (2025)

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