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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,901 papers shown

Title
Deep learning of contagion dynamics on complex networks Charles Murphy Edward Laurence Antoine Allard GNN AI4CE 22 70 0 09 Jun 2020
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN Shangqing Liu Yu Chen Xiaofei Xie J. Siow Yang Liu 96 166 0 09 Jun 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 123 46 0 09 Jun 2020
MeshWalker: Deep Mesh Understanding by Random Walks Alon Lahav A. Tal 3DV 136 82 0 09 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 131 303 0 09 Jun 2020
Graph-Aware Transformer: Is Attention All Graphs Need? Sang-yong Yoo Young-Seok Kim Kang Lee Kuhwan Jeong Junhwi Choi Hoshik Lee Y. S. Choi GNN 97 11 0 09 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 158 696 0 09 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 73 122 0 09 Jun 2020
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training Qipeng Guo Zhijing Jin Xipeng Qiu Weinan Zhang David Wipf Zheng Zhang 126 61 0 08 Jun 2020
Optimal Transport Graph Neural Networks Benson Chen Gary Bécigneul O. Ganea Regina Barzilay Tommi Jaakkola OT 94 44 0 08 Jun 2020
Graph Representation Learning Network via Adaptive Sampling Anderson de Andrade Chen Cecilia Liu GNN 20 0 0 08 Jun 2020
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives Guoji Fu Buse Giledereli Jian Zhang Kaili Ma Barakeel Fanseu Kamhoua James Cheng 56 18 0 08 Jun 2020
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels Yi Zhou Chenglei Wu Zimo Li Chen Cao Yuting Ye Jason M. Saragih Hao Li Yaser Sheikh 58 77 0 08 Jun 2020
Unsupervised Differentiable Multi-aspect Network Embedding Chanyoung Park Carl Yang Qi Zhu Donghyun Kim Hwanjo Yu Jiawei Han 23 31 0 07 Jun 2020
Single-Layer Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Junxiong Zhu Yanghua Li Peng He Wen-yuan Gao Wenjun Xu GNN 28 1 0 07 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 86 823 0 07 Jun 2020
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time Iddo Drori Anant Kharkar William R. Sickinger Brandon Kates Qiang Ma Suwen Ge Eden Dolev Brenda L Dietrich David P. Williamson Madeleine Udell 74 83 0 06 Jun 2020
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Peter Hawkins Jared Davis David Belanger Lucy J. Colwell Adrian Weller 100 86 0 05 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Helen Zhou Shuiwang Ji 105 401 0 03 Jun 2020
Self-supervised Training of Graph Convolutional Networks Qikui Zhu Bo Du Pingkun Yan SSL GNN 63 45 0 03 Jun 2020
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization Quentin Cappart Thierry Moisan Louis-Martin Rousseau Isabeau Prémont-Schwarz A. Ciré 87 145 0 02 Jun 2020
RelEx: A Model-Agnostic Relational Model Explainer Yue Zhang David DeFazio Arti Ramesh 57 110 0 30 May 2020
Understanding the Message Passing in Graph Neural Networks via Power Iteration Clustering Xue Li Yuanzhi Cheng GNN 66 9 0 30 May 2020
Non-Local Graph Neural Networks Meng Liu Zhengyang Wang Shuiwang Ji 128 166 0 29 May 2020
Deep graph learning for semi-supervised classification Guangfeng Lin Xiao-bing Kang Kaiyang Liao Fan Zhao Yajun Chen GNN 47 35 0 29 May 2020
Looking back to lower-level information in few-shot learning Zhongjie Yu S. Raschka 48 5 0 27 May 2020
Neural heuristics for SAT solving Sebastian Jaszczur M. Luszczyk Henryk Michalewski NAI 30 12 0 27 May 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network Yaming Yang Ziyu Guan Jianxin Li Wei Zhao Jiangtao Cui Quan Wang GNN 108 177 0 27 May 2020
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting Alessio Monti Alessia Bertugli Simone Calderara Rita Cucchiara 88 68 0 26 May 2020
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction Matías Mendieta Hamed Tabkhi 46 19 0 26 May 2020
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification Chaochao Chen Jun Zhou Longfei Zheng Huiwen Wu Lingjuan Lyu Hongzhi Zhang Bingzhe Wu Ziqi Liu L. xilinx Wang Xiaolin Zheng FedML 91 100 0 25 May 2020
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Jiexia Ye Juanjuan Zhao Kejiang Ye Chengzhong Xu GNN AI4TS AI4CE 99 199 0 24 May 2020
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking N. Vesselinova Rebecca Steinert Daniel F. Perez-Ramirez Magnus Boman GNN AI4CE 87 146 0 22 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 152 397 0 22 May 2020
Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models Mengxi Wei Yifan He Qiong Zhang VLM 43 41 0 22 May 2020
Customized Graph Neural Networks Yiqi Wang Yao Ma Wei Jin Chaozhuo Li Charu C. Aggarwal Jiliang Tang 94 3 0 22 May 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 88 711 0 20 May 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback Michihiro Yasunaga Percy Liang LRM 127 176 0 20 May 2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review Ying Li Lingfei Ma Zilong Zhong Fei Liu Dongpu Cao Jonathan Li M. Chapman 3DPC 109 410 0 20 May 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction Cunjun Yu Xiao Ma Jiawei Ren Haiyu Zhao Shuai Yi 90 475 0 18 May 2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction Alessia Bertugli Simone Calderara Pasquale Coscia Lamberto Ballan Rita Cucchiara 99 29 0 17 May 2020
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation Boris Knyazev H. D. Vries Cătălina Cangea Graham W. Taylor Aaron Courville Eugene Belilovsky 69 56 0 17 May 2020
Multi-View Graph Neural Networks for Molecular Property Prediction Hehuan Ma Yatao Bian Yu Rong Wenbing Huang Tingyang Xu Wei-yang Xie Geyan Ye Junzhou Huang 116 44 0 17 May 2020
Visual Relationship Detection using Scene Graphs: A Survey Aniket Agarwal Ayush Mangal Vipul GNN 70 21 0 16 May 2020
Siamese Neural Networks for Class Activity Detection Hang Li Zhiwei Wang Jiliang Tang Wenbiao Ding Zitao Liu 40 7 0 15 May 2020
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages Colin Lockard Prashant Shiralkar Xin Luna Dong Hannaneh Hajishirzi 50 56 0 14 May 2020
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC) G. Vivar Anees Kazi Hendrik Burwinkel A. Zwergal Nassir Navab Seyed-Ahmad Ahmadi 49 15 0 14 May 2020
DRTS Parsing with Structure-Aware Encoding and Decoding Qiankun Fu Yue Zhang Jiangming Liu Meishan Zhang 38 7 0 14 May 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey Joakim Skarding Bogdan Gabrys Katarzyna Musial AI4CE 122 240 0 13 May 2020
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks Masanobu Horie Naoki Morita Toshiaki Hishinuma Yushi Ihara Naoto Mitsume GNN 94 23 0 13 May 2020