ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

18 November 2019

Papers citing "ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations"

48 / 48 papers shown

Title
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization Qiyi Wang Yinning Shao Yunlong Ma Min Liu OOD 77 0 0 04 Mar 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting Hao Wu Haomin Wen Guibin Zhang Yutong Xia Kai Wang Yuxuan Liang Yu Zheng Kun Wang 62 2 0 17 Jan 2025
Causal-aware Graph Neural Architecture Search under Distribution Shifts Peiwen Li Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Jialong Wang Yang Li Wenwu Zhu CML OOD 62 4 0 31 Dec 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 43 0 0 26 Jul 2024
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks Jiahua Rao Jiancong Xie Hanjing Lin Shuangjia Zheng Zhen Wang Yuedong Yang 19 0 0 07 Feb 2024
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel Xuan Li Zhanke Zhou Jiangchao Yao Yu Rong Lu Zhang Bo Han 31 3 0 02 Nov 2023
Edge-aware Hard Clustering Graph Pooling for Brain Imaging Cheng Zhu Jiayi Zhu Xi Wu Lijuan Zhang Shu-Huei Yang Ping Liang Honghan Chen Ying Tan 30 0 0 23 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 31 3 0 15 Aug 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 17 30 0 31 May 2023
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 37 141 0 11 Apr 2023
MPool: Motif-Based Graph Pooling Muhammad Ifte Khairul Islam Max Khanov Esra Akbas 19 4 0 07 Mar 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 22 8 0 16 Feb 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations Jinjiang Guo Jie Li 27 0 0 02 Feb 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 36 4 0 13 Dec 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
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 16 9 0 07 Sep 2022
Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning? C. Gerloff K. Konrad Jana A. Kruppa M. Schulte-Rüther Vanessa Reindl 19 4 0 17 Aug 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 26 16 0 05 Jul 2022
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 16 72 0 26 Jun 2022
Dual-channel Early Warning Framework for Ethereum Ponzi Schemes Jie Jin Jiajun Zhou Chengxiang Jin Shanqing Yu Ziwan Zheng Qi Xuan 15 9 0 16 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound Adrián Arnaiz-Rodríguez Ahmed Begga Francisco Escolano Nuria Oliver 24 62 0 15 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 38 0 0 31 May 2022
Learning Resilient Radio Resource Management Policies with Graph Neural Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 16 26 0 07 Mar 2022
Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation Jinjiang Guo Qi Liu Han Guo Xi Lu AI4CE 16 3 0 21 Feb 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 99 223 0 30 Jan 2022
Deconfounding to Explanation Evaluation in Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xia Hu Fuli Feng Xiangnan He Tat-Seng Chua FAtt CML 17 14 0 21 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 22 30 0 12 Jan 2022
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 22 53 0 18 Dec 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 17 2 0 25 Nov 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi C. Alippi GNN FAtt AI4CE 24 90 0 11 Oct 2021
Semi-Supervised Deep Learning for Multiplex Networks Anasua Mitra Priyesh Vijayan Ranbir Sanasam D. Goswami S. Parthasarathy Balaraman Ravindran GNN 27 18 0 05 Oct 2021
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels Navid Naderializadeh 36 3 0 04 Oct 2021
Edge but not Least: Cross-View Graph Pooling Xiaowei Zhou Jie Yin Ivor W. Tsang 36 2 0 24 Sep 2021
Pooling Architecture Search for Graph Classification Lan Wei Huan Zhao Quanming Yao Zhiqiang He AI4CE 13 71 0 24 Aug 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 16 6 0 11 Jun 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention Byung-Hoon Kim Jong Chul Ye Jae-Jin Kim 32 128 0 27 May 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning Ning Liu Songlei Jian Dongsheng Li Yiming Zhang Zhiquan Lai Hongzuo Xu 26 30 0 13 Apr 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 28 172 0 23 Feb 2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric Jun Hu Shengsheng Qian Quan Fang Youze Wang Quan Zhao Huaiwen Zhang Changsheng Xu GNN 31 53 0 27 Jan 2021
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 24 30 0 16 Dec 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang R. He 14 153 0 12 Oct 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 19 46 0 08 Sep 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 15 13 0 11 Jun 2020
Segmented Graph-Bert for Graph Instance Modeling Jiawei Zhang SSeg 25 6 0 09 Feb 2020
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 17 5 0 06 Sep 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014