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
QuadTree Attention for Vision Transformers Shitao Tang Jiahui Zhang Siyu Zhu Ping Tan ViT 169 156 0 08 Jan 2022
Attention-Based Recommendation On Graphs Taher Hekmatfar Saman Haratizadeh Parsa Razban S. Goliaei GNN 19 2 0 04 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 45 2 0 04 Jan 2022
Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data Stefan Bloemheuvel Jurgen van den Hoogen Dario Jozinović A. Michelini Martin Atzmueller AI4TS 18 45 0 03 Jan 2022
GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings Zhaohua Zheng Jianfang Li Lingjie Zhu Honghua Li F. Petzold Ping Tan 15 14 0 03 Jan 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels Aosong Feng Chenyu You Shiqiang Wang Leandros Tassiulas GNN 15 78 0 03 Jan 2022
Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui Xiang Wang Jiancan Wu Min Lin Xiangnan He Tat-Seng Chua CML OOD 17 153 0 30 Dec 2021
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 33 3 0 30 Dec 2021
Motif Graph Neural Network Xuexin Chen Ruichu Cai Yuan Fang Min-man Wu Zijian Li Zhifeng Hao 16 22 0 30 Dec 2021
Deformable Graph Convolutional Networks Jinyoung Park Sungdong Yoo Jihwan Park Hyunwoo J. Kim GNN 30 13 0 29 Dec 2021
Learn Layer-wise Connections in Graph Neural Networks Lanning Wei Huan Zhao Zhiqiang He GNN 21 4 0 27 Dec 2021
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? Ziwei Zhang Xin Wang Zeyang Zhang Peng Cui Wenwu Zhu 3DPC 22 6 0 23 Dec 2021
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design Sung Une Lee Boming Xia Yongan Zhang Ang Li Yingyan Lin GNN 55 47 0 22 Dec 2021
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes Lukas Galke Iacopo Vagliano Benedikt Franke Tobias Zielke Marcel Hoffmann A. Scherp CLL 29 13 0 20 Dec 2021
FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows E. Simou 16 0 0 18 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 22 53 0 18 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 19 60 0 15 Dec 2021
Graph Kernel Neural Networks Luca Cosmo G. Minello Alessandro Bicciato M. Bronstein Emanuele Rodolà Luca Rossi A. Torsello GNN 41 20 0 14 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 28 23 0 14 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 15 27 0 14 Dec 2021
A systematic approach to random data augmentation on graph neural networks Billy Joe Franks Markus Anders Marius Kloft Pascal Schweitzer OOD AAML 16 0 0 08 Dec 2021
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks P. Esser L. C. Vankadara D. Ghoshdastidar 28 53 0 07 Dec 2021
Multi-scale Graph Convolutional Networks with Self-Attention Zhilong Xiong Jia Cai GNN 43 2 0 04 Dec 2021
TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs Yuke Wang Boyuan Feng Zheng Wang Guyue Huang Yufei Ding GNN 24 26 0 03 Dec 2021
Controversy Detection: a Text and Graph Neural Network Based Approach Samy Benslimane J. Azé S. Bringay Maximilien Servajean C. Mollevi 9 10 0 03 Dec 2021
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks Yang Li Yuichi Tanaka 21 3 0 03 Dec 2021
ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering Subhajit Dutta Chowdhury Kaixin Yang Pierluigi Nuzzo GNN 23 26 0 01 Dec 2021
AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning Rishikesh Magar Yuyang Wang Cooper Lorsung Chen Liang Hariharan Ramasubramanian Peiyuan Li A. Farimani 28 27 0 30 Nov 2021
TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors Haibin Zheng Minying Ma Jinyin Chen Haiyang Xiong Zhijun Yang 25 9 0 26 Nov 2021
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups Hugo Aguettaz Erik J. Bekkers M. Defferrard GNN 16 1 0 23 Nov 2021
Learnable Structural Semantic Readout for Graph Classification Dongha Lee S. Kim Seonghyeon Lee Chanyoung Park Hwanjo Yu GNN 22 20 0 22 Nov 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification Siddhant Doshi S. Chepuri GNN 22 4 0 22 Nov 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 59 81 0 20 Nov 2021
QGTC: Accelerating Quantized Graph Neural Networks via GPU Tensor Core Yuke Wang Boyuan Feng Yufei Ding GNN 33 41 0 18 Nov 2021
Spectral Transform Forms Scalable Transformer Bingxin Zhou Xinliang Liu Yuehua Liu Yunyin Huang Pietro Lio Yuguang Wang 52 6 0 15 Nov 2021
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 19 45 0 14 Nov 2021
Simplifying approach to Node Classification in Graph Neural Networks S. Maurya Xin Liu T. Murata 27 76 0 12 Nov 2021
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park Hajin Shim Eunho Yang 79 49 0 10 Nov 2021
CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations Tianyu Zhang Yuxiang Ren Wenzheng Feng Weitao Du Xuecang Zhang 26 1 0 05 Nov 2021
Adversarial Attacks on Graph Classification via Bayesian Optimisation Xingchen Wan Henry Kenlay Binxin Ru Arno Blaas Michael A. Osborne Xiaowen Dong AAML 32 12 0 04 Nov 2021
Brain dynamics via Cumulative Auto-Regressive Self-Attention Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis 11 2 0 01 Nov 2021
Graph Embedding with Hierarchical Attentive Membership Lu Lin Ethan Blaser Hongning Wang 24 10 0 31 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 23 19 0 28 Oct 2021
Nested Graph Neural Networks Muhan Zhang Pan Li 27 163 0 25 Oct 2021
An attention-driven hierarchical multi-scale representation for visual recognition Zachary Wharton Chenglong Bao Asish Bera BDL 20 1 0 23 Oct 2021
Event Detection on Dynamic Graphs Mert Kosan A. Silva Sourav Medya Brian Uzzi Ambuj K. Singh 21 10 0 23 Oct 2021
Watermarking Graph Neural Networks based on Backdoor Attacks Jing Xu Stefanos Koffas Oguzhan Ersoy S. Picek AAML 14 28 0 21 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 27 148 0 14 Oct 2021
Asymmetric Graph Representation Learning Zhuo Tan B. Liu Guosheng Yin 24 1 0 14 Oct 2021
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection Van-Anh Nguyen Dai Quoc Nguyen Van Nguyen Trung Le Quan Hung Tran Dinh Q. Phung 31 109 0 14 Oct 2021