Edge Contraction Pooling for Graph Neural Networks

27 May 2019

Papers citing "Edge Contraction Pooling for Graph Neural Networks"

50 / 56 papers shown

Title
Will You Be Aware? Eye Tracking-Based Modeling of Situational Awareness in Augmented Reality Zhehan Qu Tianyi Hu Christian Fronk M. Gorlatova 76 1 0 07 Aug 2025
Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning Anwar Said Yifan Wei O. Ahmad Mudassir Shabbir W. Abbas X. Koutsoukos 214 0 0 21 Jul 2025
Smotrom tvoja pa ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case StudyAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Alexey Tikhonov Sergei Shteiner A. Bykova Ivan P. Yamshchikov 117 0 0 31 May 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements Haoyang Li Yongjun Xu C. Zhang Alexander Zhou Lei Chen Qing Li AI4CE 672 0 0 03 Jan 2025
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling Jinming Xing Ruilin Xing Chang Xue Dongwen Luo 244 6 0 12 Nov 2024
A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future TrendsMechanical systems and signal processing (MSSP), 2024 Yucheng Wang Ruibing Jin Xiaoli Li Lihua Xie Zhenghua Chen AI4TS AI4CE 144 24 0 29 Sep 2024
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs Sumeyye Bas Kıymet Kaya Resul Tugay Ş. Öğüdücü 88 0 0 20 Jul 2024
Motif-driven Subgraph Structure Learning for Graph Classification Zhiyao Zhou Sheng Zhou Bochao Mao Jiawei Chen Qingyun Sun Yan Feng Chun-Yen Chen Can Wang 173 2 0 13 Jun 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability Pengyun Wang Junyu Luo Yanxin Shen M. Zhang Shaoen Qin Siyu Heng Xiao Luo 289 4 0 13 Jun 2024
Graph Parsing Networks Yunchong Song Siyuan Huang Xinbing Wang Cheng Zhou Zhouhan Lin GNN 167 3 0 22 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun Xia Bozhen Hu Stan Z. Li 238 8 0 04 Feb 2024
Predicting Viral Rumors and Vulnerable Users for Infodemic Surveillance Xuan Zhang Wei Gao 124 0 0 18 Jan 2024
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes Chuang Liu Wenhang Yu Kuang Gao Xueqi Ma Yibing Zhan Hongzhi Zhang Bo Du Wenbin Hu 113 0 0 21 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 243 1 0 23 Aug 2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph PoolingNeural Networks (Neural Netw.), 2023 Chuang Liu Yibing Zhan Baosheng Yu Liu Liu Bo Du Wenbin Hu Tongliang Liu 205 14 0 22 Jun 2023
Impact-Oriented Contextual Scholar Profiling using Self-Citation GraphsKnowledge Discovery and Data Mining (KDD), 2023 Yuan Luo Lei Shi Mufan Xu Yuwen Ji Fengli Xiao Chunming Hu Zhiguang Shan 228 12 0 24 Apr 2023
The expressive power of pooling in Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2023 F. Bianchi Veronica Lachi 214 42 0 04 Apr 2023
A Comparison of Graph Neural Networks for Malware ClassificationJournal of Computer Virology and Hacking Techniques (JCVHT), 2023 Vrinda Malhotra Katerina Potika Mark Stamp 149 10 0 22 Mar 2023
State of the Art and Potentialities of Graph-level LearningACM Computing Surveys (ACM Comput. Surv.), 2023 Zhenyu Yang Ge Zhang Hongzhi Zhang Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio GNN AI4CE 213 23 0 14 Jan 2023
Efficient Automatic Machine Learning via Design Graphs Shirley Wu Jiaxuan You J. Leskovec Rex Ying GNN 130 1 0 21 Oct 2022
Higher-order Clustering and Pooling for Graph Neural NetworksInternational Conference on Information and Knowledge Management (CIKM), 2022 Alexandre Duval Fragkiskos D. Malliaros 166 46 0 02 Sep 2022
Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation Xinyue Hu Lin Gu Liangchen Liu Ruijiang Li Yan Yu Tatsuya Harada Yingying Zhu TTA 189 0 0 13 Aug 2022
Graph neural networks for materials science and chemistryCommunications Materials (Commun. Mater.), 2022 Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 244 563 0 05 Aug 2022
Approximate Network Motif Mining Via Graph Learning Carlos Oliver Dexiong Chen Vincent Mallet P. Philippopoulos Karsten Borgwardt 150 4 0 02 Jun 2022
Contrastive Representation Learning for 3D Protein Structures Pedro Hermosilla Timo Ropinski 3DV 178 58 0 31 May 2022
Embedding Graphs on Grassmann ManifoldNeural Networks (NN), 2022 Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 139 3 0 30 May 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and OpportunitiesInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Chuang Liu Yibing Zhan Hongzhi Zhang Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 170 105 0 15 Apr 2022
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs Jiying Zhang Fuyang Li Xi Xiao Qifeng Bai Yu Rong Junzhou Huang Yatao Bian GNN 147 29 0 31 Mar 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 212 14 0 17 Feb 2022
Graph Neural Network-based Android Malware Classification with Jumping KnowledgeInternational Conference on Data Science in Cyberspace (ICDSC), 2022 Wai Weng Lo S. Layeghy Mohanad Sarhan Marcus Gallagher Marius Portmann 306 24 0 19 Jan 2022
Detail-aware Deep Clothing Animations Infused with Multi-source Attributes Tianxing Li Rui Shi T. Kanai 3DH AI4CE 143 8 0 15 Dec 2021
Learning to Infer Kinematic Hierarchies for Novel Object Instances H. Abdul-Rashid Miles Freeman Ben Abbatematteo George Konidaris Daniel E. Ritchie 267 17 0 15 Oct 2021
Understanding Pooling in Graph Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Daniele Grattarola Daniele Zambon F. Bianchi Cesare Alippi GNN FAtt AI4CE 571 120 0 11 Oct 2021
Edge but not Least: Cross-View Graph Pooling Xiaowei Zhou Jie Yin Ivor W. Tsang 114 3 0 24 Sep 2021
Hierarchical graph neural nets can capture long-range interactionsInternational Workshop on Machine Learning for Signal Processing (MLSP), 2021 Ladislav Rampášek Guy Wolf 181 18 0 15 Jul 2021
Edge Representation Learning with HypergraphsNeural Information Processing Systems (NeurIPS), 2021 Jaehyeong Jo Jinheon Baek Seul Lee Dongki Kim Minki Kang Sung Ju Hwang 203 80 0 30 Jun 2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals Andac Demir T. Koike-Akino Ye Wang M. Haruna Deniz Erdogmus 134 91 0 16 Jun 2021
Graph Pooling via Coarsened Graph InfomaxAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021 Yunsheng Pang Yunxiang Zhao Dongsheng Li GNN 204 49 0 04 May 2021
Quadratic GCN for Graph Classification Omer Nagar Shoval Frydman Ori Hochman Y. Louzoun GNN 75 4 0 14 Apr 2021
Recognizing Predictive Substructures with Subgraph Information BottleneckIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Junchi Yu Qifeng Bai Yu Rong Yatao Bian Junzhou Huang Ran He 135 55 0 20 Mar 2021
Implementing graph neural networks with TensorFlow-Keras Patrick Reiser André Eberhard Pascal Friederich GNN 144 17 0 07 Mar 2021
Accurate Learning of Graph Representations with Graph Multiset PoolingInternational Conference on Learning Representations (ICLR), 2021 Jinheon Baek Minki Kang Sung Ju Hwang 219 207 0 23 Feb 2021
$Automatic design of novel potential 3CL$^{\text{pro}}$ and PL$^{\text{pro}}$ inhibitors$ Automatic design of novel potential 3CL $^{\text{pro}}$ and PL $^{\text{pro}}$ inhibitors Timothy James Atkinson Saeed Saremi Faustino J. Gomez Jonathan Masci AI4CE 102 0 0 28 Jan 2021
LookHops: light multi-order convolution and pooling for graph classification Zhangyang Gao Haitao Lin Stan. Z Li 97 6 0 28 Dec 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Qifeng Bai Yu Rong Yatao Bian Junzhou Huang Ran He 160 179 0 12 Oct 2020
Contrastive Self-supervised Learning for Graph ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2020 Jiaqi Zeng P. Xie SSL 222 170 0 13 Sep 2020
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image RetrievalBritish Machine Vision Conference (BMVC), 2020 Aneeshan Sain A. Bhunia Yongxin Yang Tao Xiang Yi-Zhe Song 223 58 0 29 Jul 2020
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures Pedro Hermosilla M. Schäfer Matěj Lang Gloria Fackelmann Pere-Pau Vázquez Barbora Kozlíková M. Krone Tobias Ritschel Timo Ropinski 131 2 0 13 Jul 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial DiscretizationsSIAM Journal on Scientific Computing (SIAM J. Sci. Comput.), 2020 John Tencer Kevin Potter AI4CE 177 13 0 11 Jun 2020
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning Yanyan Liang Yanfeng Zhang Dechao Gao Qian Xu GNN 81 5 0 15 Apr 2020