{"total":30,"rows":[{"id":"2302.07253","title":"Energy Transformer","created":"2023-02-14","cited_by_count":71,"area":null},{"id":"2110.05292","title":"Understanding Pooling in Graph Neural Networks","created":"2021-10-11","cited_by_count":69,"area":null},{"id":"2204.07321","title":"Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities","created":"2022-04-15","cited_by_count":52,"area":null},{"id":"2304.01575","title":"The expressive power of pooling in Graph Neural Networks","created":"2023-04-04","cited_by_count":35,"area":null},{"id":"2107.01319","title":"Learning Hierarchical Graph Neural Networks for Image Clustering","created":"2021-07-03","cited_by_count":18,"area":null},{"id":"2207.08629","title":"Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks","created":"2022-07-18","cited_by_count":18,"area":null},{"id":"2305.19183","title":"Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting","created":"2023-05-30","cited_by_count":17,"area":null},{"id":"2402.10634","title":"Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling","created":"2024-02-16","cited_by_count":17,"area":null},{"id":"2203.12852","title":"Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges","created":"2022-03-23","cited_by_count":12,"area":null},{"id":"2405.14094","title":"Attending to Topological Spaces: The Cellular Transformer","created":"2024-05-23","cited_by_count":11,"area":null},{"id":"2104.04710","title":"Pyramidal Reservoir Graph Neural Network","created":"2021-04-10","cited_by_count":10,"area":null},{"id":"2407.04236","title":"Graph Pooling via Ricci Flow","created":"2024-07-05","cited_by_count":10,"area":null},{"id":"2201.02057","title":"GLAN: A Graph-based Linear Assignment Network","created":"2022-01-05","cited_by_count":6,"area":null},{"id":"2208.03523","title":"Generalizing Downsampling from Regular Data to Graphs","created":"2022-08-06","cited_by_count":6,"area":null},{"id":"2302.07524","title":"Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network","created":"2023-02-15","cited_by_count":6,"area":null},{"id":"2306.09386","title":"Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting","created":"2023-06-15","cited_by_count":5,"area":null},{"id":"2409.05100","title":"MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks","created":"2024-09-08","cited_by_count":5,"area":null},{"id":"2506.11700","title":"Geometry-Aware Edge Pooling for Graph Neural Networks","created":"2025-06-13","cited_by_count":5,"area":null},{"id":"2306.12726","title":"On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling","created":"2023-06-22","cited_by_count":4,"area":null},{"id":"2505.14040","title":"Unsupervised Graph Clustering with Deep Structural Entropy","created":"2025-05-20","cited_by_count":4,"area":null},{"id":"2203.07691","title":"Supervised Contrastive Learning with Structure Inference for Graph Classification","created":"2022-03-15","cited_by_count":3,"area":null},{"id":"2208.01648","title":"Maximal Independent Vertex Set applied to Graph Pooling","created":"2022-08-02","cited_by_count":2,"area":null},{"id":"2501.09821","title":"BN-Pool: Bayesian Nonparametric Pooling for Graphs","created":"2025-01-16","cited_by_count":2,"area":null},{"id":"2512.12642","title":"Torch Geometric Pool: the PyTorch library for pooling in Graph Neural Networks","created":"2025-12-14","cited_by_count":2,"area":null},{"id":"2210.07539","title":"Superpixel perception graph neural network for intelligent defect detection of aero-engine blade","created":"2022-10-14","cited_by_count":1,"area":null},{"id":"2503.00599","title":"Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends","created":"2025-03-01","cited_by_count":1,"area":null},{"id":"2605.06250","title":"The Role of Node Features in Graph Pooling","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2609.14962","title":"Geometric Flow enhanced Graph Coarsening","created":"2026-09-14","cited_by_count":1,"area":null},{"id":"2307.13011","title":"Maximal Independent Sets for Pooling in Graph Neural Networks","created":"2023-07-24","cited_by_count":0,"area":null},{"id":"2510.22599","title":"A roadmap for curvature-based geometric data analysis and learning","created":"2025-10-26","cited_by_count":0,"area":null}],"next_cursor":null}