Towards Sparse Hierarchical Graph Classifiers

3 November 2018

Papers citing "Towards Sparse Hierarchical Graph Classifiers"

33 / 133 papers shown

Title
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola C. Alippi GNN 10 154 0 22 Jun 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 15 13 0 11 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 26 8 0 06 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 20 284 0 07 May 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks M. Balcilar G. Renton Pierre Héroux Benoit Gaüzère Sébastien Adam P. Honeine 21 60 0 26 Mar 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 29 90 0 21 Feb 2020
Deep Graph Mapper: Seeing Graphs through the Neural Lens Cristian Bodnar Cătălina Cangea Pietro Lió 13 42 0 10 Feb 2020
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport Tengfei Ma Jie Chen 22 24 0 24 Dec 2019
Multi-Channel Graph Convolutional Networks Kaixiong Zhou Qingquan Song Xiao Shi Huang Daochen Zha Na Zou Xia Hu 16 6 0 17 Dec 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 13 328 0 18 Nov 2019
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling F. Bianchi Daniele Grattarola L. Livi C. Alippi 41 47 0 24 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 24 5 0 15 Oct 2019
Universal Graph Transformer Self-Attention Networks D. Q. Nguyen T. Nguyen Dinh Q. Phung ViT 28 63 0 26 Sep 2019
Haar Graph Pooling Yu Guang Wang Ming Li Zheng Ma Guido Montúfar Xiaosheng Zhuang Yanan Fan GNN 16 8 0 25 Sep 2019
A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks D. Bacciu Luigi Di Sotto GNN 8 26 0 07 Sep 2019
Sparse hierarchical representation learning on molecular graphs M. Bal Hagen Triendl Mariana Assmann M. Craig Lawrence Phillips J. Frost Usman Bashir Noor Shaker V. Stojevic GNN 8 1 0 06 Aug 2019
Graph Neural Network for Interpreting Task-fMRI Biomarkers Xiaoxiao Li Nicha Dvornek Yuan Zhou Juntang Zhuang P. Ventola James S. Duncan 25 101 0 02 Jul 2019
Spectral Clustering with Graph Neural Networks for Graph Pooling F. Bianchi Daniele Grattarola C. Alippi GNN 16 39 0 30 Jun 2019
FSPool: Learning Set Representations with Featurewise Sort Pooling Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 17 75 0 06 Jun 2019
Edge Contraction Pooling for Graph Neural Networks Frederik Diehl GNN 13 130 0 27 May 2019
On Graph Classification Networks, Datasets and Baselines Enxhell Luzhnica Ben Day Pietro Lió GNN 18 19 0 12 May 2019
Single Image 3D Hand Reconstruction with Mesh Convolutions Dominik Kulon Haoyang Wang R. Güler M. Bronstein S. Zafeiriou 3DH 11 58 0 04 May 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Xia Hu AI4TS GNN 19 99 0 18 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 11 1,105 0 17 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks Matthias Fey GNN 16 47 0 09 Apr 2019
Clique pooling for graph classification Enxhell Luzhnica Ben Day Pietro Lió GNN 8 36 0 31 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 68 4,223 0 06 Mar 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura H. Kanezashi Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 17 1,039 0 26 Feb 2019
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules Boris Knyazev Xiao Lin Mohamed R. Amer Graham W. Taylor GNN 23 31 0 23 Nov 2018
MeshCNN: A Network with an Edge Rana Hanocka Amir Hertz N. Fish Raja Giryes S. Fleishman Daniel Cohen-Or 8 271 0 16 Sep 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 247 3,236 0 24 Nov 2016