Gated Graph Sequence Neural Networks

17 November 2015

Papers citing "Gated Graph Sequence Neural Networks"

50 / 1,391 papers shown

Title
Improving Automatic Source Code Summarization via Deep Reinforcement Learning Yao Wan Zhou Zhao Min Yang Guandong Xu Haochao Ying Jian Wu Philip S. Yu 30 382 0 17 Nov 2018
Pre-training Graph Neural Networks with Kernels Nicoló Navarin D. V. Tran A. Sperduti 37 27 0 16 Nov 2018
Gaussian-Induced Convolution for Graphs Jiatao Jiang Zhen Cui Chunyan Xu Jian Yang 32 24 0 11 Nov 2018
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 22 32 0 08 Nov 2018
Fast OBDD Reordering using Neural Message Passing on Hypergraph Geon-min Kim Hwaran Lee Bo-Kyeong Kim Soo-Young Lee AI4CE 24 2 0 06 Nov 2018
Structured Neural Summarization Patrick Fernandes Miltiadis Allamanis Marc Brockschmidt GNN 27 212 0 05 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 41 257 0 03 Nov 2018
Automated Theorem Proving in Intuitionistic Propositional Logic by Deep Reinforcement Learning M. Kusumoto Keisuke Yahata Masahiro Sakai AIMat LRM 22 11 0 02 Nov 2018
Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network Xiaoyu Wang Cailian Chen Yang Min Jianping He Bo-Jun Yang Yangchao Zhang GNN AI4TS 19 42 0 02 Nov 2018
Modeling Attention Flow on Graphs Xiaoran Xu Songpeng Zu Chengliang Gao Yuan Zhang Wei Feng GNN 25 11 0 01 Nov 2018
SARN: Relational Reasoning through Sequential Attention Jinwon An Sungwon Lyu Sungzoon Cho GNN 11 1 0 01 Nov 2018
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling Tengfei Ma Patrick Ferber Siyu Huo Jie Chen Michael Katz 23 33 0 01 Nov 2018
Session-based Recommendation with Graph Neural Networks Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan GNN 16 1,539 0 01 Nov 2018
Learning to Represent Edits Pengcheng Yin Graham Neubig Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt KELM 26 112 0 31 Oct 2018
Hybrid Knowledge Routed Modules for Large-scale Object Detection Chenhan Jiang Hang Xu Xiangdan Liang Liang Lin VLM ObjD 39 86 0 30 Oct 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 26 169 0 29 Oct 2018
Deep learning long-range information in undirected graphs with wave networks Matthew K. Matlock Arghya Datta N. Dang Kevin Jiang S. Joshua Swamidass GNN 36 15 0 29 Oct 2018
Towards Efficient Large-Scale Graph Neural Network Computing Lingxiao Ma Zhi-Xin Yang Youshan Miao Jilong Xue Ming Wu Lidong Zhou Yafei Dai GNN 29 16 0 19 Oct 2018
Open Vocabulary Learning on Source Code with a Graph-Structured Cache Milan Cvitkovic Badal Singh Anima Anandkumar 29 50 0 18 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 127 1,660 0 14 Oct 2018
Graph HyperNetworks for Neural Architecture Search Chris Zhang Mengye Ren R. Urtasun GNN 19 273 0 12 Oct 2018
Set Aggregation Network as a Trainable Pooling Layer Lukasz Maziarka Marek Śmieja A. Nowak Jacek Tabor Lukasz Struski Przemysław Spurek SSeg FAtt AI4TS 27 2 0 03 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 40 7,475 0 01 Oct 2018
Graph Neural Networks for IceCube Signal Classification Nicholas Choma Federico Monti Lisa Gerhardt T. Palczewski Z. Ronaghi P. Prabhat W. Bhimji M. Bronstein S. Klein Joan Bruna 16 76 0 17 Sep 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes Yin Cheng Ng Nicolo Colombo Ricardo M. A. Silva BDL 30 89 0 12 Sep 2018
Higher-order Graph Convolutional Networks J. B. Lee Ryan A. Rossi Xiangnan Kong Sungchul Kim Eunyee Koh Anup B. Rao GNN 22 35 0 12 Sep 2018
Context-Dependent Diffusion Network for Visual Relationship Detection Zhen Cui Chunyan Xu Wenming Zheng Jian Yang GNN 22 50 0 11 Sep 2018
Neural Guided Constraint Logic Programming for Program Synthesis Lisa Zhang Gregory Rosenblatt Ethan Fetaya Renjie Liao William E. Byrd M. Might R. Urtasun R. Zemel NAI 11 30 0 08 Sep 2018
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text Haitian Sun Bhuwan Dhingra Manzil Zaheer Kathryn Mazaitis Ruslan Salakhutdinov William W. Cohen 30 409 0 04 Sep 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 27 1 0 30 Aug 2018
Learning Human-Object Interactions by Graph Parsing Neural Networks Siyuan Qi Wenguan Wang Baoxiong Jia Jianbing Shen Song-Chun Zhu GNN 36 533 0 23 Aug 2018
Peptide-Spectra Matching from Weak Supervision S. Schoenholz Sean Hackett Laura Deming E. Melamud Navdeep Jaitly ... Jonathon J. O’Brien George E. Dahl Bryson D. Bennett Andrew M. Dai D. Koller OOD 24 9 0 20 Aug 2018
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering Daniil Sorokin Iryna Gurevych GNN 22 96 0 13 Aug 2018
Relational dynamic memory networks Trang Pham T. Tran Svetha Venkatesh GNN 21 3 0 10 Aug 2018
Message Passing Graph Kernels Giannis Nikolentzos Michalis Vazirgiannis 27 7 0 07 Aug 2018
A survey on Deep Learning Advances on Different 3D Data Representations Eman Ahmed Alexandre Saint Abd El Rahman Shabayek K. Cherenkova Rig Das Gleb Gusev Djamila Aouada Björn E. Ottersten AI4TS 3DPC 25 95 0 04 Aug 2018
Stochastic Gradient Descent with Biased but Consistent Gradient Estimators Jie Chen Ronny Luss 27 45 0 31 Jul 2018
Message-passing neural networks for high-throughput polymer screening Peter C. St. John Caleb Phillips Travis W. Kemper A. N. Wilson M. Crowley M. Nimlos R. Larsen AI4CE 27 110 0 26 Jul 2018
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks David Zheng V. Luo Jiajun Wu J. Tenenbaum SSL DRL AI4CE 21 54 0 24 Jul 2018
BayesGrad: Explaining Predictions of Graph Convolutional Networks Hirotaka Akita Kosuke Nakago Tomoki Komatsu Yohei Sugawara S. Maeda Yukino Baba H. Kashima FAtt OOD BDL 27 8 0 04 Jul 2018
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition Tianshui Chen Liang Lin Riquan Chen Yang Wu Xiaonan Luo 30 83 0 02 Jul 2018
Deep Reasoning with Knowledge Graph for Social Relationship Understanding Zhouxia Wang Tianshui Chen Jimmy S. J. Ren Weihao Yu Hui Cheng Liang Lin GNN 30 173 0 02 Jul 2018
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships Yong-Jin Liu Ruiping Wang Shiguang Shan Xilin Chen ObjD 16 227 0 30 Jun 2018
Graph-to-Sequence Learning using Gated Graph Neural Networks Daniel Beck Gholamreza Haffari Trevor Cohn GNN 24 321 0 26 Jun 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules Shengchao Liu M. F. Demirel Yingyu Liang GNN NAI 13 192 0 24 Jun 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 105 2,126 0 22 Jun 2018
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 27 249 0 21 Jun 2018
Learning Conditioned Graph Structures for Interpretable Visual Question Answering Will Norcliffe-Brown Efstathios Vafeias Sarah Parisot GNN 21 236 0 19 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,948 0 09 Jun 2018
Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials Peter Bjørn Jørgensen K. Jacobsen Mikkel N. Schmidt 30 82 0 08 Jun 2018