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
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 19 1 0 20 Nov 2022
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets Yuzhou Chen Tian Jiang M. Heleno Alexandre Moreira Yulia R. Gel GNN AI4CE 31 3 0 14 Nov 2022
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data Andrei Margeloiu Nikola Simidjievski Pietro Lio M. Jamnik DD AI4CE 22 5 0 11 Nov 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 33 12 0 11 Nov 2022
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks Kaixiong Zhou Zhenyu (Allen) Zhang Sheng-Wei Chen Tianlong Chen Xiao Huang Zhangyang Wang Xia Hu GNN 33 2 0 09 Nov 2022
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network Chuxuan Hu Qinghai Zhou Hanghang Tong 22 0 0 08 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 21 5 0 07 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization Yandi Li Haobo Gao Yunxuan Gao Jianxiong Guo Weili Wu 27 38 0 06 Nov 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis 21 7 0 04 Nov 2022
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks Tiehua Zhang Yuze Liu Yaohan Yao Youhua Xia Xin Chen Xiaowei Huang Jiongdao Jin 26 2 0 31 Oct 2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study Antonio Longa Steve Azzolin G. Santin G. Cencetti Pietro Lio Bruno Lepri Andrea Passerini 46 28 0 27 Oct 2022
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs Haibin Zheng Haiyang Xiong Jinyin Chen Hao-Shang Ma Guohan Huang 47 28 0 25 Oct 2022
HCL: Improving Graph Representation with Hierarchical Contrastive Learning Jun Wang Weixun Li Changyu Hou Xin Tang Yixuan Qiao Rui Fang Pengyong Li Peng Gao Guowang Xie 30 1 0 21 Oct 2022
GLCC: A General Framework for Graph-Level Clustering Wei Ju Yiyang Gu Binqi Chen Gongbo Sun Yifang Qin Xing Liu Xiao Luo Ming Zhang 34 40 0 21 Oct 2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering Yaming Yang Ziyu Guan Zhe Wang Wei Zhao Cai Xu Weigang Lu Jianbin Huang SSL 18 39 0 19 Oct 2022
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel Mahalakshmi Sabanayagam P. Esser D. Ghoshdastidar 34 2 0 18 Oct 2022
Test-Time Training for Graph Neural Networks Yiqi Wang Chaozhuo Li Wei Jin Rui Li Jianan Zhao Jiliang Tang Xing Xie OOD 30 14 0 17 Oct 2022
SHINE: SubHypergraph Inductive Neural nEtwork Yuan Luo 32 13 0 13 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh V. Chawla Neil Shah Tong Zhao 21 41 0 11 Oct 2022
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks Jun Wu Weizhi Xu Qiang Liu Shu Wu Liang Wang GNN 34 18 0 11 Oct 2022
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing Zeming Dong Qiang Hu Zhenya Zhang Yuejun Guo Maxime Cordy Mike Papadakis Yves Le Traon Jianjun Zhao 29 3 0 06 Oct 2022
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting Le Zhao Mingcai Chen Yuntao Du Haiyang Yang Chongjun Wang GNN AI4TS 22 4 0 06 Oct 2022
MultiScale MeshGraphNets Meire Fortunato Tobias Pfaff Peter Wirnsberger Alexander Pritzel Peter W. Battaglia AI4CE 30 68 0 02 Oct 2022
Deep learning and multi-level featurization of graph representations of microstructural data Reese E. Jones C. Safta A. Frankel AI4CE 40 4 0 29 Sep 2022
L2XGNN: Learning to Explain Graph Neural Networks G. Serra Mathias Niepert 33 7 0 28 Sep 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan Xiao Wang Yanhu Mo Chuan Shi Jian Tang CML OOD AI4CE 36 89 0 28 Sep 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective Chaoqi Chen Yushuang Wu Qiyuan Dai Hong-Yu Zhou Mutian Xu Sibei Yang Xiaoguang Han Yizhou Yu ViT MedIm AI4CE 27 73 0 27 Sep 2022
A Simple Way to Learn Metrics Between Attributed Graphs Yacouba Kaloga Pierre Borgnat Amaury Habrard GNN 22 1 0 26 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 23 14 0 24 Sep 2022
Multi-Granularity Graph Pooling for Video-based Person Re-Identification Honghu Pan Yongyong Chen Zhenyu He 33 31 0 23 Sep 2022
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity Mianxin Liu Han Zhang F. Shi D. Shen 34 24 0 22 Sep 2022
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling Zehao Dong Heming Zhang Yixin Chen Philip R. O. Payne Fuhai Li GNN 46 16 0 19 Sep 2022
SPGP: Structure Prototype Guided Graph Pooling Sangseon Lee Dohoon Lee Yinhua Piao Sun Kim 34 1 0 16 Sep 2022
A semantic hierarchical graph neural network for text classification Shuai Hua Xinxin Li Yun Jing Qu Liu 17 3 0 15 Sep 2022
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms Yuke Wang Boyuan Feng Zheng Wang Tong Geng Kevin J. Barker Ang Li Yufei Ding GNN 45 25 0 14 Sep 2022
Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets Mehmet Yigit Balik Arwa Rekik I. Rekik OOD FedML AI4CE 16 1 0 13 Sep 2022
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 45 20 0 12 Sep 2022
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model Shilin Pu Liang Chu Zhuoran Hou Jincheng Hu Yanjun Huang Yuanjian Zhang 224 0 0 08 Sep 2022
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters Sung Moon Ko Sungjun Cho Dae-Woong Jeong Sehui Han Moontae Lee Ho Hin Lee 24 9 0 07 Sep 2022
A Class-Aware Representation Refinement Framework for Graph Classification Jiaxing Xu Jinjie Ni Yiping Ke GNN 29 4 0 02 Sep 2022
Higher-order Clustering and Pooling for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros 39 38 0 02 Sep 2022
An Explainer for Temporal Graph Neural Networks Wenchong He Minh Nhat Vu Zhe Jiang My T. Thai AI4TS 11 17 0 02 Sep 2022
Learning Tree Structures from Leaves For Particle Decay Reconstruction James Kahn I. Tsaklidis Oskar Taubert Lea Reuter G. Dujany ... A. Thaller P. Goldenzweig F. Bernlochner Achim Streit Markus Gotz 11 11 0 31 Aug 2022
TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum Jinhuan Wang Pengtao Chen Xinyao Xu Jia-Jian Wu Meng Shen Qi Xuan Xiaoniu Yang 18 15 0 27 Aug 2022
A Graph Convolution for Signed Directed Graphs Taewook Ko Chong-Kwon Kim 13 4 0 23 Aug 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs Dawei Zhou Lecheng Zheng Dongqi Fu Jiawei Han Jingrui He 33 22 0 21 Aug 2022
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification Xin Wang Heng Chang Beini Xie Tian Bian Shiji Zhou Daixin Wang Qing Cui Wenwu Zhu AAML 18 10 0 13 Aug 2022
Generalizing Downsampling from Regular Data to Graphs D. Bacciu A. Conte Francesco Landolfi 45 8 0 06 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 50 373 0 05 Aug 2022
Maximal Independent Vertex Set applied to Graph Pooling Stevan Stanovic Benoit Gaüzère Luc Brun 6 3 0 02 Aug 2022