Graph Neural Networks: Taxonomy, Advances and Trends

16 December 2020

Papers citing "Graph Neural Networks: Taxonomy, Advances and Trends"

50 / 339 papers shown

Title
Learning Cross-modal Context Graph for Visual Grounding Yongfei Liu Bo Wan Xiao-Dan Zhu Xuming He 44 90 0 20 Nov 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 80 282 0 17 Nov 2019
GMAN: A Graph Multi-Attention Network for Traffic Prediction Chuanpan Zheng Xiaoliang Fan Cheng-Yu Wang Jianzhong Qi AI4TS AI4CE 90 1,363 0 11 Nov 2019
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction Anuththari Gamage Eli Chien Jianhao Peng O. Milenkovic GAN 41 15 0 08 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 118 958 0 06 Nov 2019
Certifiable Robustness to Graph Perturbations Aleksandar Bojchevski Stephan Günnemann AAML 57 123 0 31 Oct 2019
G2SAT: Learning to Generate SAT Formulas Jiaxuan You Haoze Wu Clark W. Barrett R. Ramanujan J. Leskovec NAI 45 35 0 29 Oct 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 94 643 0 28 Oct 2019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case Paul Almasan J. Suárez-Varela Krzysztof Rusek Pere Barlet-Ros A. Cabellos-Aparicio GNN AI4CE 87 186 0 16 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 82 165 0 07 Oct 2019
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 53 505 0 26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 50 62 0 25 Sep 2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning Xiaoran Xu Wei Feng Yunsheng Jiang Xiaohui Xie Zhiqing Sun Zhihong Deng LRM 36 53 0 25 Sep 2019
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks Chen Zhang Qiuchi Li D. Song GNN 24 441 0 08 Sep 2019
Graph Convolutional Networks for Temporal Action Localization Runhao Zeng Wenbing Huang Mingkui Tan Yu Rong P. Zhao Junzhou Huang Chuang Gan GNN 74 476 0 07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 88 179 0 07 Sep 2019
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks Binxuan Huang Kathleen M. Carley GNN 29 248 0 05 Sep 2019
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning Bill Yuchen Lin Xinyue Chen Jamin Chen Xiang Ren 58 461 0 04 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 250 748 0 03 Sep 2019
Enhancing AMR-to-Text Generation with Dual Graph Representations Leonardo F. R. Ribeiro Claire Gardent Iryna Gurevych 34 62 0 01 Sep 2019
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation Deepanway Ghosal Navonil Majumder Soujanya Poria Niyati Chhaya Alexander Gelbukh 72 511 0 30 Aug 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 47 184 0 26 Aug 2019
Spam Review Detection with Graph Convolutional Networks Ao Li Zhou Qin Runshi Liu Yiqun Yang Dong Li GNN 38 244 0 22 Aug 2019
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Tianshui Chen Muxi Xu X. Hui Hefeng Wu Liang Lin 40 288 0 20 Aug 2019
Graph-Based Object Classification for Neuromorphic Vision Sensing Yin Bi Aaron Chadha Alhabib Abbas Eirina Bourtsoulatze Y. Andreopoulos GNN 40 164 0 19 Aug 2019
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation Yu Chen Lingfei Wu Mohammed J Zaki GNN 40 155 0 14 Aug 2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Jiwoong Park Minsik Lee H. Chang Kyuewang Lee J. Choi SSL 72 233 0 07 Aug 2019
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension Yu Chen Lingfei Wu Mohammed J Zaki 49 76 0 31 Jul 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 141 852 0 31 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 72 1,323 0 25 Jul 2019
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification Jie Zhou Xu Han Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun 55 199 0 22 Jul 2019
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology Nima Dehmamy Albert-László Barabási Rose Yu GNN 82 133 0 11 Jul 2019
What graph neural networks cannot learn: depth vs width Andreas Loukas GNN 77 298 0 06 Jul 2019
Certifiable Robustness and Robust Training for Graph Convolutional Networks Daniel Zügner Stephan Günnemann OffRL 67 162 0 28 Jun 2019
Attention Guided Graph Convolutional Networks for Relation Extraction Zhijiang Guo Yan Zhang Wei Lu GNN 47 409 0 18 Jun 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 81 495 0 11 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 110 196 0 05 Jun 2019
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings P. Elinas Edwin V. Bonilla Louis C. Tiao BDL GNN 95 10 0 05 Jun 2019
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model Wei Li Jingjing Xu Yancheng He Shengli Yan Yunfang Wu Xu Sun 38 47 0 04 Jun 2019
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction Ziniu Hu Changjun Fan Ting-Li Chen Kai-Wei Chang Yizhou Sun 58 43 0 31 May 2019
Explainability Techniques for Graph Convolutional Networks Federico Baldassarre Hossein Azizpour GNN FAtt 148 264 0 31 May 2019
What Can Neural Networks Reason About? Keyulu Xu Jingling Li Mozhi Zhang S. Du Ken-ichi Kawarabayashi Stefanie Jegelka NAI AI4CE 60 243 0 30 May 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels S. Du Kangcheng Hou Barnabás Póczós Ruslan Salakhutdinov Ruosong Wang Keyulu Xu 125 273 0 30 May 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 89 1,377 0 29 May 2019
Approximation Ratios of Graph Neural Networks for Combinatorial Problems Ryoma Sato M. Yamada H. Kashima GNN 79 128 0 24 May 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 41 158 0 21 May 2019
Joint embedding of structure and features via graph convolutional networks Sébastien Lerique Jacob Levy Abitbol M. Karsai GNN 34 30 0 21 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 115 1,268 0 20 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 67 1,803 0 20 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 53 192 0 18 May 2019