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
Federated Graph Classification over Non-IID Graphs Han Xie Jing Ma Li Xiong Carl Yang FedML 11 153 0 25 Jun 2021
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks Jiaqing Xie Rex Ying GNN 20 3 0 24 Jun 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 33 39 0 22 Jun 2021
Multi-layered Semantic Representation Network for Multi-label Image Classification Xiwen Qu Haoyang Che Jun Huang Linchuan Xu Xiao Zheng 24 24 0 22 Jun 2021
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric Xing Xiaodan Liang 24 86 0 17 Jun 2021
Adaptive Visibility Graph Neural Network and its Application in Modulation Classification Qi Xuan Kunfeng Qiu Jinchao Zhou Zhuangzhi Chen Dongwei Xu Shilian Zheng Xiaoniu Yang AI4TS 24 55 0 16 Jun 2021
Graph Domain Adaptation: A Generative View Ruichu Cai Fengzhu Wu Zijian Li Pengfei Wei Lingling Yi Kun Zhang OOD 19 37 0 14 Jun 2021
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs Seongjun Yun Minbyul Jeong Sungdong Yoo Seunghun Lee Sean S. Yi Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 24 65 0 11 Jun 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 21 6 0 11 Jun 2021
Self-supervised Graph-level Representation Learning with Local and Global Structure Minghao Xu Hang Wang Bingbing Ni Hongyu Guo Jian Tang SSL 16 204 0 08 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
Graph2Graph Learning with Conditional Autoregressive Models Guan Wang F. Lauze Aasa Feragen CML GNN AI4CE 36 2 0 06 Jun 2021
Empowering Language Understanding with Counterfactual Reasoning Fuli Feng Jizhi Zhang Xiangnan He Hanwang Zhang Tat-Seng Chua LRM 21 33 0 06 Jun 2021
Multiresolution Equivariant Graph Variational Autoencoder Truong-Son Hy Risi Kondor 16 18 0 02 Jun 2021
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues Rishabh Joshi Vidhisha Balachandran Shikhar Vashishth A. Black Yulia Tsvetkov 36 34 0 02 Jun 2021
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction Abhishek Nadgeri Anson Bastos Kuldeep Singh I. Mulang' Johannes Hoffart Saeedeh Shekarpour V. Saraswat SLR 20 33 0 01 Jun 2021
Parameter Estimation for the SEIR Model Using Recurrent Nets Chun Fan Yuxian Meng Xiaofei Sun Fei Wu Tianwei Zhang Jiwei Li 15 1 0 30 May 2021
Constructing Flow Graphs from Procedural Cybersecurity Texts Kuntal Kumar Pal Kazuaki Kashihara Pratyay Banerjee Swaroop Mishra Ruoyu Wang Chitta Baral 14 11 0 29 May 2021
Learning Graphon Autoencoders for Generative Graph Modeling Hongteng Xu P. Zhao Junzhou Huang Dixin Luo GNN 41 5 0 29 May 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention Byung-Hoon Kim Jong Chul Ye Jae-Jin Kim 34 129 0 27 May 2021
Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction Zhengjing Ma Gang Mei S. Cuomo F. Piccialli 19 10 0 24 May 2021
GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching Sudipta Mondal Susmita Dey Manasi K. Kunal S. Ramprasath S. Sapatnekar GNN 6 15 0 21 May 2021
Improving Graph Neural Networks with Simple Architecture Design S. Maurya Xin Liu T. Murata 26 47 0 17 May 2021
Neural Trees for Learning on Graphs Rajat Talak Siyi Hu Lisa Peng Luca Carlone 42 25 0 15 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs Christopher Morris Matthias Fey Nils M. Kriege GNN 34 23 0 12 May 2021
Business Entity Matching with Siamese Graph Convolutional Networks E. Krivosheev Mattia Atzeni Katsiaryna Mirylenka P. Scotton Christoph Miksovic Anton Zorin GNN 30 7 0 08 May 2021
Learning Feature Aggregation for Deep 3D Morphable Models Zhixiang Chen Tae-Kyun Kim 3DPC 3DH 45 24 0 05 May 2021
VersaGNN: a Versatile accelerator for Graph neural networks Feng Shi Yiqiao Jin Song-Chun Zhu GNN 58 17 0 04 May 2021
Graph Pooling via Coarsened Graph Infomax Yunsheng Pang Yunxiang Zhao Dongsheng Li GNN 39 41 0 04 May 2021
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering Yiming Wang Dongxia Chang Zhiqiang Fu Yao Zhao GNN 20 1 0 30 Apr 2021
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck Kashob Kumar Roy Amit Roy A. Rahman M. A. Amin A. Ali 27 12 0 27 Apr 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 64 60 0 26 Apr 2021
User Preference-aware Fake News Detection Yingtong Dou Kai Shu Congyin Xia Philip S. Yu Lichao Sun 19 247 0 25 Apr 2021
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation Ryuhei Hamaguchi Yasutaka Furukawa Masaki Onishi Ken Sakurada 21 4 0 22 Apr 2021
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning R. Winter Frank Noé Djork-Arné Clevert BDL SSL 22 24 0 20 Apr 2021
TSGN: Transaction Subgraph Networks for Identifying Ethereum Phishing Accounts Jinhuan Wang Pengtao Chen Shanqing Yu Qi Xuan GNN 16 25 0 18 Apr 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks Hao Peng Ruitong Zhang Yingtong Dou Renyu Yang Jingyi Zhang Philip S. Yu 36 115 0 16 Apr 2021
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions Yushan Zheng Zhi-guo Jiang Haopeng Zhang Feng-ying Xie Jun Shi Chenghai Xue 20 4 0 16 Apr 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network Jindou Dai Yuwei Wu Zhi Gao Yunde Jia 32 77 0 14 Apr 2021
Quadratic GCN for Graph Classification Omer Nagar Shoval Frydman Ori Hochman Y. Louzoun GNN 13 4 0 14 Apr 2021
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction Yingfang Yuan Wenjun Wang Wei Pang 16 7 0 13 Apr 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning Ning Liu Songlei Jian Dongsheng Li Yiming Zhang Zhiquan Lai Hongzuo Xu 34 30 0 13 Apr 2021
Towards Efficient Graph Convolutional Networks for Point Cloud Handling Yawei Li He Chen Zhaopeng Cui Radu Timofte Marc Pollefeys Gregory Chirikjian Luc Van Gool 3DPC GNN 28 25 0 12 Apr 2021
Smart Vectorizations for Single and Multiparameter Persistence Baris Coskunuzer Cüneyt Gürcan Akçora I. Segovia-Dominguez Zhiwei Zhen Murat Kantarcioglu Yulia R. Gel 20 2 0 10 Apr 2021
A Graph VAE and Graph Transformer Approach to Generating Molecular Graphs Joshua Mitton H. Senn Klaas Wynne Roderick Murray-Smith ViT GNN 11 22 0 09 Apr 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 31 74 0 08 Apr 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang Tieniu Tan 42 10 0 29 Mar 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 36 17 0 24 Mar 2021
Learning physical properties of anomalous random walks using graph neural networks Hippolyte Verdier M. Duval François Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 18 25 0 22 Mar 2021
Language-Agnostic Representation Learning of Source Code from Structure and Context Daniel Zügner Tobias Kirschstein Michele Catasta J. Leskovec Stephan Günnemann 30 119 0 21 Mar 2021