Hierarchical Graph Representation Learning with Differentiable Pooling

22 June 2018

Xiang Ren

Papers citing "Hierarchical Graph Representation Learning with Differentiable Pooling"

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Title
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 54 141 0 11 Apr 2023
The expressive power of pooling in Graph Neural Networks F. Bianchi Veronica Lachi 16 29 0 04 Apr 2023
RARE: Robust Masked Graph Autoencoder Wenxuan Tu Qing Liao Sihang Zhou Xin Peng Chuan Ma Zhe Liu Xinwang Liu Zhiping Cai 31 12 0 04 Apr 2023
Transformer and Snowball Graph Convolution Learning for Brain functional network Classification Jinlong Hu Ya-Lin Huang Shoubin Dong 27 1 0 28 Mar 2023
Learning Second-Order Attentive Context for Efficient Correspondence Pruning Xinyi Ye Weiyue Zhao Hao Lu Zhiguo Cao 22 8 0 28 Mar 2023
Topological Pooling on Graphs Yuzhou Chen Yulia R. Gel 25 10 0 25 Mar 2023
Dynamic Vertex Replacement Grammars Daniel Gonzalez Cedre Justus Hibshman Timothy La Fond Grant M. Boquet Tim Weninger 28 0 0 21 Mar 2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization Dongcheng Zou Hao Peng Xiang Huang Renyu Yang Jianxin Li Jia Wu Chun-Yi Liu Philip S. Yu 22 44 0 17 Mar 2023
Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems Aron Brenner Rahman Khorramfar Saurabh Amin 14 5 0 16 Mar 2023
MPool: Motif-Based Graph Pooling Muhammad Ifte Khairul Islam Max Khanov Esra Akbas 22 4 0 07 Mar 2023
Graph-level representations using ensemble-based readout functions Jakub Binkowski Albert Sawczyn Denis Janiak Piotr Bielak Tomasz Kajdanowicz 20 3 0 03 Mar 2023
Hierarchical Graph Neural Networks for Particle Track Reconstruction Ryan Liu P. Calafiura S. Farrell X. Ju D. Murnane Tuan Minh Pham 23 13 0 03 Mar 2023
Attention-based Graph Convolution Fusing Latent Structures and Multiple Features for Graph Neural Networks Yang Li Yuichi Tanaka 3DPC 26 0 0 02 Mar 2023
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems Zheng Yuan HU Xue Chaoyun Zhang Yongming Liu GNN AI4CE 29 1 0 27 Feb 2023
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning Yun Zhu Jianhao Guo Siliang Tang 27 28 0 24 Feb 2023
Semantic-Fused Multi-Granularity Cross-City Traffic Prediction Kehua Chen Yuxuan Liang Jindong Han Siyuan Feng Meixin Zhu Hai Yang AI4TS 29 6 0 23 Feb 2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer Qiheng Mao Zemin Liu Chenghao Liu Jianling Sun 38 56 0 22 Feb 2023
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation Honglin Shu Pei Gao Lingwei Zhu Zheng Chen 14 2 0 22 Feb 2023
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis Weiqin Zhao Shujun Wang Maximus C. F. Yeung Tianye Niu Lequan Yu 44 9 0 21 Feb 2023
Learnable Topological Features for Phylogenetic Inference via Graph Neural Networks Cheng Zhang 20 14 0 17 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 29 16 0 17 Feb 2023
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures Nhat-Khang Ngô Truong Son-Hy Risi Kondor ViT AI4CE 29 2 0 17 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 24 8 0 16 Feb 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 24 135 0 16 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion Haotian Ju Dongyue Li Aneesh Sharma Hongyang R. Zhang 31 40 0 09 Feb 2023
Learning to Count Isomorphisms with Graph Neural Networks Xingtong Yu Zemin Liu Yuan Fang Xinming Zhang GNN 32 15 0 07 Feb 2023
Spectral Augmentations for Graph Contrastive Learning Amur Ghose Yingxue Zhang Jianye Hao Mark J. Coates 29 7 0 06 Feb 2023
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 21 28 0 01 Feb 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 24 14 0 28 Jan 2023
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods Ali Taghibakhshi Nicolas Nytko Tareq Uz Zaman S. MacLachlan Luke N. Olson Matthew West AI4CE 24 9 0 26 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 53 121 0 17 Jan 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Jia Wu Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio' GNN AI4CE 35 10 0 14 Jan 2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation Xiaohan Li Yuqing Liu Zheng Liu Philip S. Yu 33 7 0 10 Jan 2023
Graph state-space models Daniele Zambon Andrea Cini L. Livi Cesare Alippi 23 6 0 04 Jan 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis Kaizhong Zheng Shujian Yu Badong Chen CML 33 31 0 04 Jan 2023
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA Bingyi Zhang R. Kannan Viktor Prasanna Carl E. Busart 27 14 0 04 Jan 2023
GPTR: Gestalt-Perception Transformer for Diagram Object Detection Xin Hu Lingling Zhang Jun Liu Jinfu Fan Yang You Yaqiang Wu ViT 35 5 0 29 Dec 2022
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks Ujun Jeong Kaize Ding Lu Cheng Ruocheng Guo Kai Shu Huan Liu GNN 21 21 0 24 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 27 5 0 17 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 30 11 0 16 Dec 2022
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs Alejandro Parada-Mayorga Zhiyang Wang Alejandro Ribeiro 28 9 0 15 Dec 2022
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 36 4 0 13 Dec 2022
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax Yang Liu Yu Rong Zhuoning Guo Nuo Chen Tingyang Xu Fugee Tsung Jia Li 44 11 0 12 Dec 2022
Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition Junghoon Lee Minhyeok Lee Suhwan Cho Sungmin Woo Sungjun Jang Sangyoun Lee 22 17 0 09 Dec 2022
Dissimilar Nodes Improve Graph Active Learning Zhicheng Ren Yifu Yuan Yuxin Wu Xiaxuan Gao Yewen Wang Yizhou Sun 21 3 0 05 Dec 2022
Demystifying Bitcoin Address Behavior via Graph Neural Networks Zhen-Ji Huang Yunyang Huang Peng Qian Jianhai Chen Qinming He GNN 30 6 0 26 Nov 2022
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations Han Gao Xuhong Han Jiaoyang Huang Jian-Xun Wang Liping Liu ViT GNN 11 8 0 26 Nov 2022
Self Supervised Clustering of Traffic Scenes using Graph Representations Maximilian Zipfl Moritz Jarosch J. Marius Zöllner GNN 29 2 0 24 Nov 2022
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource Yue Liu Jun-Xiong Xia Sihang Zhou Xihong Yang K. Liang Chenchen Fan Zhuang Yan Stan Z. Li Xinwang Liu Kunlun He OOD 23 19 0 23 Nov 2022
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms Danimir T. Doncevic Alexander Mitsos Yu Guo Qianxiao Li Felix Dietrich Manuel Dahmen Ioannis G. Kevrekidis 18 7 0 22 Nov 2022