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Hierarchical Graph Representation Learning with Differentiable Pooling

22 June 2018

Xiang Ren

Papers citing "Hierarchical Graph Representation Learning with Differentiable Pooling"

50 / 51 papers shown

Title
Early-Exit Graph Neural Networks Andrea Giuseppe Di Francesco Maria Sofia Bucarelli F. M. Nardini R. Perego Nicola Tonellotto Fabrizio Silvestri 117 0 0 23 May 2025
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 560 0 0 28 Apr 2025
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks Thomas Bailie Yun Sing Koh S. Karthik Mukkavilli V. Vetrova AI4TS 214 0 0 01 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Ziqiang Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei Jin AI4TS AI4CE 511 1 0 29 Mar 2025
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology Amaya Gallagher-Syed Henry Senior Omnia Alwazzan Elena Pontarini Michele Bombardieri C. Pitzalis M. Lewis Michael Barnes Luca Rossi Gregory G. Slabaugh 108 0 0 26 Mar 2025
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach Eshed Gal Moshe Eliasof Carola-Bibiane Schönlieb Eldad Haber E. Haber Eran Treister GNN AI4CE 158 1 0 25 Mar 2025
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks Xuewen Dong Jiachen Li Shujun Li Zhichao You Qiang Qu Yaroslav Kholodov Yulong Shen AAML 117 0 0 12 Mar 2025
Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty Yao Wang Mingxuan Cui Arthur Jiang 122 0 0 03 Mar 2025
Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends Atul Anand Gopalakrishnan Jakir Hossain Tugrulcan Elmas Ahmet Erdem Sariyuce GNN 90 1 0 01 Mar 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Xingbo Fu Zihan Chen Yinhan He Song Wang Binchi Zhang Chen Chen Jundong Li OOD FedML 182 1 0 24 Feb 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements Haoyang Li Yongjun Xu C. Zhang Alexander Zhou Lei Chen Qing Li AI4CE 399 0 0 03 Jan 2025
Tensor-Fused Multi-View Graph Contrastive Learning Yujia Wu Junyi Mo Elynn Chen Yuzhou Chen 83 1 0 20 Oct 2024
E(n) Equivariant Topological Neural Networks Claudio Battiloro Ege Karaismailoglu Mauricio Tec George Dasoulas Michelle Audirac Francesca Dominici 113 9 0 24 May 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs Shukai Duan Heng Ping Nikos Kanakaris Xiongye Xiao Panagiotis Kyriakis ... Guixiang Ma Mihai Capota Shahin Nazarian Theodore L. Willke Paul Bogdan 94 5 0 23 May 2024
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision Yufeng Yang Adrian Kneip Charlotte Frenkel GNN 97 4 0 30 Apr 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 135 2 0 19 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark Coates CLL 72 1 0 06 Mar 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 243 7 0 18 Jan 2024
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 104 5 0 27 Sep 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 206 26 0 16 Aug 2023
$Variational inference of fractional Brownian motion with linear computational complexity$ Variational inference of fractional Brownian motion with linear computational complexity Hippolyte Verdier Franccois Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 168 6 0 15 Mar 2022
Differential equation and probability inspired graph neural networks for latent variable learning Zhuangwei Shi 90 3 0 28 Feb 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 67 30 0 21 Feb 2022
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design Sung Une Lee Boming Xia Yongan Zhang Ang Li Yingyan Lin GNN 109 51 0 22 Dec 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets Haoran You Zhihan Lu Zijian Zhou Y. Fu Yingyan Lin GNN 92 33 0 01 Mar 2021
Learning the Travelling Salesperson Problem Requires Rethinking Generalization Chaitanya K. Joshi Quentin Cappart Louis-Martin Rousseau T. Laurent 189 120 0 12 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 232 1,305 0 10 Jun 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 457 950 0 02 Mar 2020
Graph Capsule Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN 94 128 0 21 May 2018
Graph Partition Neural Networks for Semi-Supervised Classification Renjie Liao Marc Brockschmidt Daniel Tarlow Alexander L. Gaunt R. Urtasun R. Zemel GNN 59 76 0 16 Mar 2018
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 166 442 0 24 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 179 1,980 0 17 Sep 2017
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network Wengong Jin Connor W. Coley Regina Barzilay Tommi Jaakkola 78 277 0 13 Sep 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions Kristof T. Schütt Pieter-Jan Kindermans Huziel Enoc Sauceda Felix Stefan Chmiela A. Tkatchenko K. Müller 155 1,086 0 26 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Deriving Neural Architectures from Sequence and Graph Kernels Tao Lei Wengong Jin Regina Barzilay Tommi Jaakkola GNN 78 137 0 25 May 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs M. Simonovsky N. Komodakis GNN 212 1,232 0 10 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 598 7,488 0 04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 194 4,831 0 17 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 813 3,293 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 657 29,154 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 356 7,671 0 30 Jun 2016
On Valid Optimal Assignment Kernels and Applications to Graph Classification Nils M. Kriege Pierre-Louis Giscard Richard C. Wilson 84 215 0 03 Jun 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 138 2,154 0 17 May 2016
Discriminative Embeddings of Latent Variable Models for Structured Data H. Dai Bo Dai Le Song BDL 122 696 0 17 Mar 2016
Order Matters: Sequence to sequence for sets Oriol Vinyals Samy Bengio M. Kudlur BDL 200 953 0 19 Nov 2015
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 347 3,288 0 17 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 223 3,357 0 30 Sep 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015