Hierarchical Graph Representation Learning with Differentiable Pooling

22 June 2018

Xiang Ren

Papers citing "Hierarchical Graph Representation Learning with Differentiable Pooling"

50 / 946 papers shown

Title
Quaternion Graph Neural Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung GNN 27 32 0 12 Aug 2020
PiNet: Attention Pooling for Graph Classification Peter Meltzer Marcelo Daniel Gutierrez Mallea Peter J Bentley GNN 21 3 0 11 Aug 2020
A Survey on Large-scale Machine Learning Meng Wang Weijie Fu Xiangnan He Shijie Hao Xindong Wu 25 110 0 10 Aug 2020
Dynamic Emotion Modeling with Learnable Graphs and Graph Inception Network A. Shirian S. Tripathi T. Guha 23 7 0 06 Aug 2020
Compact Graph Architecture for Speech Emotion Recognition A. Shirian T. Guha GNN 6 40 0 05 Aug 2020
Cross-Global Attention Graph Kernel Network Prediction of Drug Prescription Hao-Ren Yao D. Chang O. Frieder Wendy Huang I. Liang C. Hung GNN 21 4 0 04 Aug 2020
Embedding Ranking-Oriented Recommender System Graphs Taher Hekmatfar Saman Haratizadeh S. Goliaei 25 7 0 31 Jul 2020
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval Aneeshan Sain A. Bhunia Yongxin Yang Tao Xiang Yi-Zhe Song 18 49 0 29 Jul 2020
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis Xiaoxiao Li Yuan Zhou Nicha Dvornek Muhan Zhang Juntang Zhuang P. Ventola James S Duncan 16 57 0 29 Jul 2020
Multi-view adaptive graph convolutions for graph classification Nikolas Adaloglou N. Vretos P. Daras 21 10 0 24 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning Xuebin Zheng Bingxin Zhou Ming Li Yu Guang Wang Junbin Gao 22 2 0 22 Jul 2020
Second-Order Pooling for Graph Neural Networks Zhengyang Wang Shuiwang Ji GNN 21 81 0 20 Jul 2020
Robust Hierarchical Graph Classification with Subgraph Attention S. Bandyopadhyay Manasvi Aggarwal M. Murty GNN 14 3 0 19 Jul 2020
Deep Learning of High-Order Interactions for Protein Interface Prediction Yi Liu Haonan Yuan Lei Cai Shuiwang Ji 12 56 0 18 Jul 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 46 596 0 18 Jul 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 36 159 0 16 Jul 2020
Natural Graph Networks P. D. Haan Taco S. Cohen Max Welling GNN 26 44 0 16 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 44 67 0 16 Jul 2020
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures Pedro Hermosilla M. Schäfer Matěj Lang Gloria Fackelmann Pere-Pau Vázquez Barbora Kozlíková M. Krone Tobias Ritschel Timo Ropinski 26 2 0 13 Jul 2020
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification Jiajun Zhou Jie Shen Shanqing Yu Guanrong Chen Qi Xuan 19 23 0 11 Jul 2020
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation Zhiwei Deng Karthik Narasimhan Olga Russakovsky 26 86 0 11 Jul 2020
Multilevel Graph Matching Networks for Deep Graph Similarity Learning Xiang Ling Lingfei Wu Sai-gang Wang Tengfei Ma Fangli Xu A. Liu Chunming Wu S. Ji 14 60 0 08 Jul 2020
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening Louis Bethune Yacouba Kaloga Pierre Borgnat Aurélien Garivier Amaury Habrard 14 3 0 07 Jul 2020
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media Yi Han S. Karunasekera C. Leckie GNN 29 111 0 07 Jul 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Lei Bai Lina Yao Can Li Xianzhi Wang Can Wang GNN AI4TS 31 1,155 0 06 Jul 2020
From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation Songyang Zhang Han Zhang Shuguang Cui Zhi Ding GNN 44 1 0 01 Jul 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 34 259 0 30 Jun 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lio GNN 41 54 0 29 Jun 2020
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification Kai Zhang Yaokang Zhu Jun Wang Jie Zhang H. Zha 14 0 0 29 Jun 2020
Building powerful and equivariant graph neural networks with structural message-passing Clément Vignac Andreas Loukas P. Frossard 31 119 0 26 Jun 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 39 820 0 26 Jun 2020
Lifelong Learning of Graph Neural Networks for Open-World Node Classification Lukas Galke Benedikt Franke Tobias Zielke A. Scherp GNN AI4CE 29 37 0 25 Jun 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs Matthias Fey Jan-Gin Yuen F. Weichert GNN 41 86 0 22 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola Cesare Alippi GNN 18 155 0 22 Jun 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 33 410 0 21 Jun 2020
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 25 163 0 21 Jun 2020
Graph Pooling with Node Proximity for Hierarchical Representation Learning Xing Gao Wenrui Dai Chenglin Li H. Xiong P. Frossard 19 3 0 19 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca S. Zafeiriou M. Bronstein 63 426 0 16 Jun 2020
Global Attention Improves Graph Networks Generalization Omri Puny Heli Ben-Hamu Y. Lipman 27 22 0 14 Jun 2020
HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing Hanshuang Tong Zhen Wang Yun Zhou Shiwei Tong Wenyuan Han Qi Liu AI4Ed 11 16 0 13 Jun 2020
Learning the Travelling Salesperson Problem Requires Rethinking Generalization Chaitanya K. Joshi Quentin Cappart Louis-Martin Rousseau T. Laurent 27 108 0 12 Jun 2020
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks Katsuhiko Ishiguro Kenta Oono K. Hayashi GNN 33 4 0 12 Jun 2020
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors Ziyu Zhao Meng Jiang Munira Syed Oliver Conway Vishal Juneja Sriram Subramanian Nitesh Chawla AI4TS 16 38 0 11 Jun 2020
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs Yuke Wang Boyuan Feng Gushu Li Shuangchen Li Lei Deng Yuan Xie Yufei Ding GNN 21 121 0 11 Jun 2020
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction Yunsheng Bai Ken Gu Yizhou Sun Wei Wang GNN 16 16 0 11 Jun 2020
Interferometric Graph Transform: a Deep Unsupervised Graph Representation Edouard Oyallon 21 6 0 10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 31 1,275 0 10 Jun 2020
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization S. Bandyopadhyay Manasvi Aggarwal M. Murty SSL 17 6 0 08 Jun 2020
Optimal Transport Graph Neural Networks Benson Chen Gary Bécigneul O. Ganea Regina Barzilay Tommi Jaakkola OT 39 44 0 08 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling Moshe Eliasof Eran Treister 22 25 0 07 Jun 2020