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
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi Cesare Alippi GNN FAtt AI4CE 30 90 0 11 Oct 2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training Ziyue Qiao Yanjie Fu Pengyang Wang Meng Xiao Zhiyuan Ning Denghui Zhang Yi Du Yuanchun Zhou 31 12 0 08 Oct 2021
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation Yassaman Ommi Matin Yousefabadi Faezeh Faez Amirmojtaba Sabour M. Baghshah Hamid R. Rabiee GNN CML BDL 42 4 0 07 Oct 2021
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 35 23 0 06 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 33 50 0 06 Oct 2021
Permute Me Softly: Learning Soft Permutations for Graph Representations Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis GNN 36 9 0 05 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 37 250 0 03 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 130 78 0 01 Oct 2021
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach Rolandos Alexandros Potamias Giorgos Bouritsas S. Zafeiriou 3DPC 41 18 0 30 Sep 2021
Distribution Knowledge Embedding for Graph Pooling Kaixuan Chen Mingli Song Shunyu Liu Na Yu Zunlei Feng Gengshi Han Xiuming Zhang GNN 45 22 0 29 Sep 2021
Edge but not Least: Cross-View Graph Pooling Xiaowei Zhou Jie Yin Ivor W. Tsang 42 2 0 24 Sep 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 43 34 0 23 Sep 2021
Chemical-Reaction-Aware Molecule Representation Learning Hongwei Wang Weijian Li Xiaomeng Jin Kyunghyun Cho Heng Ji Jiawei Han Martin D. Burke 107 57 0 21 Sep 2021
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning Li Pan Jundong Liu M. Shi C. Wong K. Chan 30 11 0 19 Sep 2021
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data Mohammed Amine Gharsallaoui I. Rekik OOD 13 1 0 06 Sep 2021
Structural Optimization Makes Graph Classification Simpler and Better Junran Wu Jianhao Li Yicheng Pan Ke Xu 16 1 0 05 Sep 2021
Tree-Constrained Graph Neural Networks For Argument Mining Federico Ruggeri Marco Lippi Paolo Torroni 26 3 0 02 Sep 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 29 19 0 30 Aug 2021
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting Ling-Hao Chen Jiahui Xu Binqing Wu Yuntao Qian Zhenhong Du Yansheng Li Jianlong Huang AI4TS 13 38 0 27 Aug 2021
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting Zonghan Wu Da Zheng Shirui Pan Quan Gan Guodong Long George Karypis AI4TS 32 33 0 25 Aug 2021
Tree Decomposed Graph Neural Network Yu-Chiang Frank Wang Tyler Derr 24 68 0 25 Aug 2021
Pooling Architecture Search for Graph Classification Lan Wei Huan Zhao Quanming Yao Zhiqiang He AI4CE 16 72 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 27 61 0 24 Aug 2021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection Yu Zheng Ming Jin Yixin Liu Lianhua Chi K. Phan Yi-Ping Phoebe Chen 22 122 0 23 Aug 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 23 34 0 21 Aug 2021
Learning to Match Features with Seeded Graph Matching Network Hongkai Chen Zixin Luo Jiahui Zhang Lei Zhou Xuyang Bai Zeyu Hu Chiew-Lan Tai Long Quan 17 111 0 19 Aug 2021
Blockchain Phishing Scam Detection via Multi-channel Graph Classification Dunjie Zhang Jinyin Chen 31 28 0 19 Aug 2021
Graph Capsule Aggregation for Unaligned Multimodal Sequences Jianfeng Wu Sijie Mai Haifeng Hu 21 32 0 17 Aug 2021
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures M. Rahmani Rasoul Shafipour Ping Li FedML 25 1 0 16 Aug 2021
Localized Graph Collaborative Filtering Yiqi Wang Chaozhuo Li Mingzheng Li Wei Jin Yuming Liu Hao Sun Xing Xie Jiliang Tang 9 12 0 10 Aug 2021
GraphFPN: Graph Feature Pyramid Network for Object Detection Gangming Zhao Weifeng Ge Yizhou Yu ObjD 28 82 0 02 Aug 2021
Multiplex Graph Networks for Multimodal Brain Network Analysis Zhaoming Kong Lichao Sun Hao Peng Liang Zhan Yong Chen Lifang He 24 6 0 31 Jul 2021
HW2VEC: A Graph Learning Tool for Automating Hardware Security S. Yu Rozhin Yasaei Qingrong Zhou Tommy Nguyen Mohammad Abdullah Al Faruque 16 36 0 26 Jul 2021
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference Juncheng Li Siliang Tang Linchao Zhu Haochen Shi Xuanwen Huang Fei Wu Yi Yang Yueting Zhuang 27 28 0 26 Jul 2021
Adaptive Transfer Learning on Graph Neural Networks Xueting Han Zhenhuan Huang Bang An Jing Bai 30 59 0 19 Jul 2021
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers K. Choromanski Han Lin Haoxian Chen Tianyi Zhang Arijit Sehanobish Valerii Likhosherstov Jack Parker-Holder Tamás Sarlós Adrian Weller Thomas Weingarten 35 33 0 16 Jul 2021
EGC2: Enhanced Graph Classification with Easy Graph Compression Jinyin Chen Haiyang Xiong Haibin Zheng Dunjie Zhang Jian Zhang Mingwei Jia Yi Liu AAML 32 15 0 16 Jul 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 27 12 0 15 Jul 2021
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design Jie Xu Andrew Spielberg Allan Zhao Daniela Rus Wojciech Matusik 66 38 0 13 Jul 2021
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis Hejie Cui Wei Dai Yanqiao Zhu Xiaoxiao Li Lifang He Carl Yang 26 27 0 11 Jul 2021
STR-GODEs: Spatial-Temporal-Ridership Graph ODEs for Metro Ridership Prediction Chu-Chih Huang AI4TS 14 2 0 11 Jul 2021
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space Menglin Yang Min Zhou Marcus Kalander Zengfeng Huang Irwin King 36 121 0 08 Jul 2021
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks Dexun Li Meghna Lowalekar Pradeep Varakantham OffRL 21 10 0 08 Jul 2021
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis Yanqiao Zhu Hejie Cui Lifang He Lichao Sun Carl Yang 28 36 0 07 Jul 2021
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks Amirhossein Nouranizadeh Mohammadjavad Matinkia Mohammad Rahmati Reza Safabakhsh 27 20 0 03 Jul 2021
Learning Hierarchical Graph Neural Networks for Image Clustering Yifan Xing Tong He Tianjun Xiao Yongxin Wang Yuanjun Xiong Weihao Xia David Wipf Paul Zheng-Wei Zhang Stefano Soatto 26 33 0 03 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 108 0 01 Jul 2021
Edge Representation Learning with Hypergraphs Jaehyeong Jo Jinheon Baek Seul Lee Dongki Kim Minki Kang Sung Ju Hwang 24 64 0 30 Jun 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 41 274 0 29 Jun 2021
On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction E. Kosasih J. Cabezas Xavier Sumba Piotr Bielak Kamil Tagowski Kelvin Idanwekhai Benedict Aaron Tjandra Arian R. Jamasb AI4CE 19 9 0 29 Jun 2021