Fast Graph Representation Learning with PyTorch Geometric

6 March 2019

Papers citing "Fast Graph Representation Learning with PyTorch Geometric"

40 / 2,140 papers shown

Title
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 833 0 28 Sep 2019
Can $Q$ -Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver? Vitaly Kurin Saad Godil Shimon Whiteson Bryan Catanzaro NAI 13 28 0 26 Sep 2019
Haar Graph Pooling Yu Guang Wang Ming Li Zheng Ma Guido Montúfar Xiaosheng Zhuang Yanan Fan GNN 14 8 0 25 Sep 2019
Graph Neural Networks for Human-aware Social Navigation Luis J. Manso Ronit R. Jorvekar Diego Resende Faria Pablo Bustos P. Bachiller GNN 8 17 0 19 Sep 2019
Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks Niko Sünderhauf 21 8 0 16 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
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 28 1,078 0 07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 56 178 0 07 Sep 2019
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks Binxuan Huang Kathleen M. Carley GNN 8 247 0 05 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 189 743 0 03 Sep 2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Yanning Zhou S. Graham Navid Alemi Koohbanani Muhammad Shaban Pheng-Ann Heng Nasir M. Rajpoot MedIm 27 173 0 03 Sep 2019
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Shengwen Liang Ying Wang Cheng Liu Lei He Huawei Li Xiaowei Li GNN 6 132 0 31 Aug 2019
Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs Daniel T. Chang AI4CE GNN 13 9 0 22 Aug 2019
End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks Floris Hermsen Peter Bloem Fabian Jansen W. Vos GNN BDL 14 1 0 14 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 16 838 0 31 Jul 2019
Spectral-based Graph Convolutional Network for Directed Graphs Y. Ma Jianye Hao Yaodong Yang Han Li Junqi Jin Guangyong Chen GNN BDL 13 73 0 21 Jul 2019
k-hop Graph Neural Networks Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis 16 104 0 13 Jul 2019
Graph Neural Network for Interpreting Task-fMRI Biomarkers Xiaoxiao Li Nicha Dvornek Yuan Zhou Juntang Zhuang P. Ventola James S. Duncan 19 101 0 02 Jul 2019
Discriminative structural graph classification Younjoo Seo Andreas Loukas Nathanael Perraudin 16 19 0 31 May 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 12 1,352 0 29 May 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 18 445 0 27 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 12 561 0 27 May 2019
Edge Contraction Pooling for Graph Neural Networks Frederik Diehl GNN 13 130 0 27 May 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning Jiaqi Ma Weijing Tang Ji Zhu Qiaozhu Mei BDL 13 61 0 26 May 2019
Function Space Pooling For Graph Convolutional Networks P. Corcoran GNN 23 3 0 15 May 2019
On Graph Classification Networks, Datasets and Baselines Enxhell Luzhnica Ben Day Pietro Lió GNN 15 19 0 12 May 2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification Ting-Li Chen Song Bian Yizhou Sun 11 88 0 11 May 2019
Are Graph Neural Networks Miscalibrated? Leonardo Teixeira B. Jalaeian Bruno Ribeiro AI4CE 16 22 0 07 May 2019
Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang Yixin Chen 17 229 0 26 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 11 1,099 0 17 Apr 2019
Deep Iterative Surface Normal Estimation J. E. Lenssen Christian Osendorfer Jonathan Masci 3DPC 12 1 0 15 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks Matthias Fey GNN 11 47 0 09 Apr 2019
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification Blaž Škrlj Jan Kralj Janez Konc Marko Robnik-Šikonja Nada Lavrac GNN BDL 28 3 0 11 Feb 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi C. Alippi GNN 25 384 0 05 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 26 5,390 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 22 1,318 0 11 Dec 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules Shengchao Liu M. F. Demirel Yingyu Liang GNN NAI 6 191 0 24 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,941 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 234 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,230 0 24 Nov 2016