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A Comprehensive Survey on Graph Neural Networks

3 January 2019

Philip S. Yu

Papers citing "A Comprehensive Survey on Graph Neural Networks"

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Title
Classifying Diagrams and Their Parts using Graph Neural Networks: A Comparison of Crowd-Sourced and Expert Annotations Tuomo Hiippala 82 1 0 05 Dec 2019
CLOTH3D: Clothed 3D HumansEuropean Conference on Computer Vision (ECCV), 2019 Hugo Bertiche Argila Meysam Madadi Sergio Escalera 3DH 205 184 0 05 Dec 2019
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2019 Weiqiu Chen Ling Chen Yu Xie Wei Cao Yusong Gao Xiaojie Feng AI4TS 172 327 0 27 Nov 2019
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature RelationsIEEE International Joint Conference on Neural Network (IJCNN), 2019 Chen Wang Chengyuan Deng Vladimir A. Ivanov GNN DRL 161 6 0 27 Nov 2019
Recursive Prediction of Graph Signals with Incoming NodesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 Arun Venkitaraman Saikat Chatterjee B. Wahlberg 104 7 0 26 Nov 2019
Independence Promoted Graph Disentangled NetworksAAAI Conference on Artificial Intelligence (AAAI), 2019 Yanbei Liu Tianlin Li Shu Wu Zhitao Xiao 166 107 0 26 Nov 2019
Graph Pruning for Model Compression Mingyang Zhang Xinyi Yu Jingtao Rong L. Ou GNN 124 9 0 22 Nov 2019
Discrete and Continuous Deep Residual Learning Over GraphsInternational Conference on Agents and Artificial Intelligence (ICAART), 2019 Pedro H. C. Avelar Anderson R. Tavares Marco Gori Luís C. Lamb GNN 153 21 0 21 Nov 2019
Exponential Family Graph EmbeddingsAAAI Conference on Artificial Intelligence (AAAI), 2019 Abdulkadir Çelikkanat Fragkiskos D. Malliaros 87 13 0 20 Nov 2019
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise TransformationsComputer Vision and Pattern Recognition (CVPR), 2019 Yantao Du Wei Hu Guo-Jun Qi 3DPC 197 48 0 19 Nov 2019
GLMNet: Graph Learning-Matching Networks for Feature Matching Bo Jiang Pengfei Sun Jin Tang Bin Luo 107 36 0 18 Nov 2019
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 330 104 0 17 Nov 2019
Hierarchical Graph Pooling with Structure LearningAAAI Conference on Artificial Intelligence (AAAI), 2019 Zhen Zhang Jiajun Bu Martin Ester Jianfeng Zhang Chengwei Yao Zhi Yu Can Wang 227 195 0 14 Nov 2019
On the choice of graph neural network architecturesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 Clément Vignac Guillermo Ortiz-Jiménez P. Frossard GNN 130 10 0 13 Nov 2019
A Hierarchy of Graph Neural Networks Based on Learnable Local Features M. Li Meng Dong Jiawei Zhou Alexander M. Rush AI4CE GNN 136 7 0 13 Nov 2019
Constant Curvature Graph Convolutional NetworksInternational Conference on Machine Learning (ICML), 2019 Gregor Bachmann Gary Bécigneul O. Ganea GNN 363 154 0 12 Nov 2019
GMAN: A Graph Multi-Attention Network for Traffic PredictionAAAI Conference on Artificial Intelligence (AAAI), 2019 Chuanpan Zheng Xiaoliang Fan Cheng-Yu Wang Jianzhong Qi AI4TS AI4CE 334 1,654 0 11 Nov 2019
Learning to Fix Build Errors with Graph2Diff Neural NetworksInternational Conference on Software Engineering (ICSE), 2019 Daniel Tarlow Subhodeep Moitra Andrew Rice Zimin Chen Pierre-Antoine Manzagol Charles Sutton E. Aftandilian GNN 248 66 0 04 Nov 2019
A Spectral Nonlocal Block for Neural Networks Lei Zhu Qi She Lidan Zhang Ping Guo 199 2 0 04 Nov 2019
Understanding Isomorphism Bias in Graph Data Sets Sergei Ivanov Sergei Sviridov Evgeny Burnaev FaML AI4CE 217 41 0 26 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 165 90 0 25 Oct 2019
Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Prediction Daniel T. Chang AI4CE GNN 116 3 0 24 Oct 2019
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules Benjamín Sánchez-Lengeling Jennifer N. Wei Brian K. Lee R. C. Gerkin Alán Aspuru-Guzik Alexander B. Wiltschko GNN 141 100 0 23 Oct 2019
Feature Selection and Extraction for Graph Neural NetworksACM Southeast Regional Conference (ACMSE), 2019 D. Acharya Huaming Zhang 79 31 0 23 Oct 2019
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological DisordersTheory and Practice of Logic Programming (TPLP), 2019 Francesco Calimeri Francesco Cauteruccio Luca Cinelli A. Marzullo C. Stamile G. Terracina F. Durand-Dubief D. Sappey-Marinier 121 22 0 21 Oct 2019
Relational Graph Representation Learning for Open-Domain Question Answering Sal Vivona Kaveh Hassani GNN NAI 108 10 0 18 Oct 2019
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional networkTransportation Research Part C: Emerging Technologies (TRC), 2019 Jintao Ke Xiaoran Qin Hai Yang Zhengfei Zheng Zheng Zhu Jieping Ye AI4TS 113 177 0 17 Oct 2019
Heterogeneous Graph Matching Networks Shen Wang Zhengzhang Chen Xiao Yu Ding Li Jingchao Ni L. Tang Jiaping Gui Zhichun Li Haifeng Chen Philip S. Yu 86 9 0 17 Oct 2019
Dynamic Graph Convolutional Networks Using the Tensor M-Product Osman Asif Malik Shashanka Ubaru L. Horesh M. Kilmer H. Avron 226 3 0 16 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 91 5 0 15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 206 193 0 15 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR PredictionInternational Conference on Information and Knowledge Management (CIKM), 2019 Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang Liang Wang GNN 178 253 0 12 Oct 2019
Cross-modal Scene Graph Matching for Relationship-aware Image-Text RetrievalIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019 Sijin Wang Ruiping Wang Ziwei Yao Shiguang Shan Xilin Chen 3DV 178 237 0 11 Oct 2019
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition Xupeng Miao Nezihe Merve Gürel Wentao Zhang Zhichao Han Yue Liu ... Yang Zhao Shuai Zhang Yujing Wang Tengjiao Wang Ce Zhang GNN 147 6 0 10 Oct 2019
Interpreting Deep Learning-Based Networking Systems Zili Meng Minhu Wang Jia-Ju Bai Mingwei Xu Hongzi Mao Hongxin Hu AI4CE 150 3 0 09 Oct 2019
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted GraphsNeural Information Processing Systems (NeurIPS), 2019 Denis Mazur Vage Egiazarian S. Morozov Artem Babenko 141 5 0 08 Oct 2019
Combining docking pose rank and structure with deep learning improves protein-ligand binding mode predictionJournal of Chemical Information and Modeling (JCIM), 2019 Joseph A. Morrone Matteo Terreran T. Huynh Heng Luo Wendy D. Cornell 89 78 0 07 Oct 2019
Text Level Graph Neural Network for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 207 291 0 06 Oct 2019
Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot DetectionAAAI Conference on Artificial Intelligence (AAAI), 2019 Thomas Magelinski David M. Beskow Kathleen M. Carley 159 33 0 02 Oct 2019
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks Guillaume Salha-Galvan Romain Hennequin Michalis Vazirgiannis GNN BDL 165 52 0 02 Oct 2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link PredictionInternational Conference on Knowledge Capture (K-CAP), 2019 Ling Cai Bo Yan Gengchen Mai K. Janowicz Rui Zhu GNN 106 83 0 01 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph RepresentationsInternational Conference on Learning Representations (ICLR), 2019 Ninad Kulkarni Bruno Ribeiro 221 27 0 01 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 96 0 0 26 Sep 2019
Universal Graph Transformer Self-Attention NetworksThe Web Conference (WWW), 2019 Dai Quoc Nguyen T. Nguyen Dinh Q. Phung ViT 731 79 0 26 Sep 2019
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep NetworksSIAM Journal on Mathematics of Data Science (SIMODS), 2019 Adam Li Ronan Perry Chester Huynh Tyler M. Tomita Ronak R. Mehta Jesús Arroyo Jesse Patsolic Benjamin Falk Joshua T. Vogelstein 177 5 0 25 Sep 2019
Haar Graph Pooling Yu Guang Wang Ming Li Zheng Ma Guido Montúfar Xiaosheng Zhuang Yanan Fan GNN 176 8 0 25 Sep 2019
Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints Arbaaz Khan Vijay Kumar Alejandro Ribeiro 128 9 0 24 Sep 2019
Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks Niko Sünderhauf 155 8 0 16 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 399 814 0 03 Sep 2019
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural NetworksIEEE transactions on computers (IEEE Trans. Comput.), 2019 Shengwen Liang Ying Wang Cheng Liu Lei He Huawei Li Xiaowei Li GNN 220 151 0 31 Aug 2019