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
IA-GCN: Interactive Graph Convolutional Network for Recommendation Yinan Zhang Pei Wang Congcong Liu Xiwei Zhao Hao Qi Jie He Junsheng Jin Changping Peng Zhangang Lin Jingping Shao GNN 35 6 0 08 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 39 109 0 04 Apr 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications Kamilia Mullakaeva Luca Cosmo Anees Kazi Seyed-Ahmad Ahmadi Nassir Navab Michael M. Bronstein 35 6 0 01 Apr 2022
Automatic Identification of Chemical Moieties Jonas Lederer M. Gastegger Kristof T. Schütt Michael C. Kampffmeyer Klaus-Robert Muller Oliver T. Unke 21 5 0 30 Mar 2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks Hyeon-ju Park Seunghun Lee S. Kim Jinyoung Park Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 16 49 0 26 Mar 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 50 40 0 25 Mar 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 34 30 0 23 Mar 2022
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification Zhaohui Wang Qi Cao Huawei Shen Bingbing Xu Xueqi Cheng 28 2 0 22 Mar 2022
GAC: A Deep Reinforcement Learning Model Toward User Incentivization in Unknown Social Networks Shiqing Wu Weihua Li Quan-wei Bai GNN 24 9 0 17 Mar 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh V. Chawla Huan Liu 30 18 0 17 Mar 2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks Hejie Cui Wei Dai Yanqiao Zhu Xuan Kan Antonio Aodong Chen Gu Joshua Lukemire Liang Zhan Lifang He Ying Guo Carl Yang 19 113 0 17 Mar 2022
Graph Representation Learning with Individualization and Refinement Mohammed Haroon Dupty W. Lee 22 2 0 17 Mar 2022
$Variational inference of fractional Brownian motion with linear computational complexity$ Variational inference of fractional Brownian motion with linear computational complexity Hippolyte Verdier Franccois Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 25 6 0 15 Mar 2022
Supervised Contrastive Learning with Structure Inference for Graph Classification Hao Jia Junzhong Ji Minglong Lei 14 11 0 15 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 26 4 0 15 Mar 2022
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling Junhua Ma Jiajun Li Xueming Li Xu Li 3DPC GNN 13 1 0 11 Mar 2022
DISCO: Comprehensive and Explainable Disinformation Detection Dongqi Fu Yikun Ban Hanghang Tong Ross Maciejewski Jingrui He 37 22 0 09 Mar 2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series Yuanrong Wang T. Aste AI4TS 26 10 0 08 Mar 2022
Multivariate Time Series Forecasting with Latent Graph Inference Victor Garcia Satorras Syama Sundar Rangapuram Tim Januschowski AI4TS 46 28 0 07 Mar 2022
Understanding microbiome dynamics via interpretable graph representation learning K. Melnyk Kuba Weimann Tim Conrad 24 5 0 02 Mar 2022
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks Ranggi Hwang M. Kang Jiwon Lee D. Kam Youngjoo Lee Minsoo Rhu GNN 16 20 0 01 Mar 2022
Differential equation and probability inspired graph neural networks for latent variable learning Zhuangwei Shi 14 3 0 28 Feb 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Xingliang Yuan Chuan Zhou Shirui Pan AAML 42 23 0 25 Feb 2022
Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision P. Elinas Edwin V. Bonilla AI4CE 34 5 0 25 Feb 2022
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks Zhe Li A. Tolias Xaq Pitkow AI4CE 42 3 0 22 Feb 2022
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy Seira Hidano Takao Murakami 26 8 0 21 Feb 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 29 29 0 21 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 33 12 0 17 Feb 2022
What Functions Can Graph Neural Networks Generate? Mohammad Fereydounian Hamed Hassani Amin Karbasi 33 4 0 17 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OOD CML 27 97 0 16 Feb 2022
G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han Zhimeng Jiang Ninghao Liu Xia Hu 19 193 0 15 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks Jing Xu Rui Wang Stefanos Koffas K. Liang S. Picek FedML AAML 39 25 0 07 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten M. Borgwardt 36 237 0 07 Feb 2022
Graph Self-supervised Learning with Accurate Discrepancy Learning Dongki Kim Jinheon Baek Sung Ju Hwang SSL 16 36 0 07 Feb 2022
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport Mahdi Saleh Shun-cheng Wu Luca Cosmo Nassir Navab Benjamin Busam F. Tombari 27 22 0 03 Feb 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks Zhaoning Yu Hongyang Gao 34 40 0 01 Feb 2022
Rewiring with Positional Encodings for Graph Neural Networks Rickard Brüel-Gabrielsson Mikhail Yurochkin Justin Solomon AI4CE 25 32 0 29 Jan 2022
SMGRL: Scalable Multi-resolution Graph Representation Learning Reza Namazi Elahe Ghalebi Sinead Williamson H. Mahyar 15 1 0 29 Jan 2022
ReGAE: Graph autoencoder based on recursive neural networks Adam Malkowski Jakub Grzechociñski Pawel Wawrzyñski GNN 35 0 0 28 Jan 2022
Revisiting Global Pooling through the Lens of Optimal Transport Minjie Cheng Hongteng Xu 22 0 0 23 Jan 2022
Predicting Physics in Mesh-reduced Space with Temporal Attention Xu Han Han Gao Tobias Pfaff Jian-Xun Wang Liping Liu AI4CE 21 73 0 22 Jan 2022
HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting Minbo Ma Peng Xie Fei Teng Tian-Jie Li Bin Wang Shenggong Ji Junbo Zhang AI4TS 20 9 0 22 Jan 2022
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach A. Tom Nesreen Ahmed George Karypis 22 1 0 22 Jan 2022
Representing Long-Range Context for Graph Neural Networks with Global Attention Zhanghao Wu Paras Jain Matthew A. Wright Azalia Mirhoseini Joseph E. Gonzalez Ion Stoica GNN 46 258 0 21 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 44 38 0 19 Jan 2022
Evidence-aware Fake News Detection with Graph Neural Networks Weizhi Xu Jun Wu Qiang Liu Shu Wu Liang Wang GNN 32 78 0 18 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer Vinayak Gupta Srikanta J. Bedathur 43 19 0 16 Jan 2022
GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules Mahdi Ghorbani Samarjeet Prasad Jeffery B. Klauda B. Brooks GNN 24 30 0 12 Jan 2022
Quasi-Framelets: Another Improvement to GraphNeural Networks Mengxi Yang Xuebin Zheng Jie Yin Junbin Gao GNN 22 0 0 11 Jan 2022
Learning Fair Node Representations with Graph Counterfactual Fairness Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 12 78 0 10 Jan 2022