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Inductive Representation Learning on Large Graphs

Neural Information Processing Systems (NeurIPS), 2017

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 6,267 papers shown

Title
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 235 35 0 08 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Ninad Kulkarni Vinayak A. Rao Yun Liang 295 202 0 05 Nov 2018
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding Peifeng Wang Jialong Han Chenliang Li Rong Pan NAI GNN 161 174 0 04 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 304 282 0 03 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 109 46 0 02 Nov 2018
Modeling Attention Flow on Graphs Xiaoran Xu Songpeng Zu Chengliang Gao Yuan Zhang Wei Feng GNN 156 11 0 01 Nov 2018
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling Tengfei Ma Patrick Ferber Siyu Huo Jie Chen Michael Katz 318 36 0 01 Nov 2018
Mean-field theory of graph neural networks in graph partitioning T. Kawamoto Masashi Tsubaki T. Obuchi 190 59 0 29 Oct 2018
Accurate, Efficient and Scalable Graph Embedding Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 237 80 0 28 Oct 2018
Learning and Interpreting Multi-Multi-Instance Learning Networks Alessandro Tibo M. Jaeger P. Frasconi AI4CE 294 24 0 26 Oct 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 287 83 0 25 Oct 2018
Streaming Graph Neural Networks Yao Ma Ziyi Guo Zhaochun Ren Eric Zhao Shucheng Zhou D. Yin GNN 190 264 0 24 Oct 2018
Convolutional Set Matching for Graph Similarity Yunsheng Bai Haoyang Ding Luke Huan Wei Wang GNN 190 39 0 23 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 177 16 0 19 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 904 1,911 0 14 Oct 2018
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability Akifumi Okuno Geewook Kim Hidetoshi Shimodaira 72 8 0 04 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 597 1,845 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 846 8,940 0 01 Oct 2018
Deep Graph InfomaxInternational Conference on Learning Representations (ICLR), 2018 Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 514 2,761 0 27 Sep 2018
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised LearningPattern Recognition (Pattern Recognit.), 2018 Yawei Luo T. Guan Junqing Yu Ping Liu Yi Yang SSL GNN 166 34 0 26 Sep 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 232 79 0 17 Sep 2018
Graph Convolutional Networks for Text Classification Liang Yao Chengsheng Mao Yuan Luo GNN 344 1,974 0 15 Sep 2018
Wasserstein Autoencoders for Collaborative Filtering Jingbin Zhong Xiaofeng Zhang 91 26 0 15 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 202 528 0 14 Sep 2018
SQL-to-Text Generation with Graph-to-Sequence Model Kun Xu Lingfei Wu Zhiguo Wang Liwei Chen V. Sheinin GNN RALM 154 89 0 14 Sep 2018
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network Pedro H. C. Avelar Henrique Lemos Marcelo O. R. Prates Luís C. Lamb 211 19 0 11 Sep 2018
Context-Dependent Diffusion Network for Visual Relationship Detection Zhen Cui Chunyan Xu Wenming Zheng Zhiqiang Wang GNN 141 52 0 11 Sep 2018
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching Yunsheng Bai Haoyang Ding Luke Huan Wei Wang GNN 198 121 0 10 Sep 2018
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation Fei Jiang Lei Zheng Jin Xu Philip S. Yu 77 6 0 07 Sep 2018
Learning Embeddings of Directed Networks with Text-Associated Nodes---with Applications in Software Package Dependency Networks Kexuan Sun Shudan Zhong Hong Xu 164 3 0 07 Sep 2018
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang Cao Xiao Tengfei Ma Hongyan Li Jimeng Sun GNN 354 301 0 06 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 198 464 0 04 Sep 2018
Smoothed Dilated Convolutions for Improved Dense Prediction Zhengyang Wang Shuiwang Ji 158 174 0 27 Aug 2018
Future Automation Engineering using Structural Graph Convolutional Neural Networks Jiang Wan Blake S. Pollard Sujit Rokka Chhetri Palash Goyal Mohammad Abdullah Al Faruque A. Canedo GNN 96 3 0 24 Aug 2018
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey Xingjian Shi Dit-Yan Yeung AI4TS 122 94 0 21 Aug 2018
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 140 46 0 20 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Luke Huan Wei Wang GNN 244 375 0 16 Aug 2018
Learning Graph Embeddings from WordNet-based Similarity Measures Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Sergey Petrakov GNN 154 18 0 16 Aug 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 210 627 0 12 Aug 2018
Stochastic Gradient Descent with Biased but Consistent Gradient Estimators Jie Chen Ronny Luss 243 46 0 31 Jul 2018
Attention Models in Graphs: A SurveyACM Transactions on Knowledge Discovery from Data (TKDD), 2018 J. B. Lee Ryan A. Rossi Sungchul Kim Nesreen K. Ahmed Eunyee Koh GNN 124 166 0 20 Jul 2018
DeepInf: Social Influence Prediction with Deep Learning J. Qiu Jian Tang Hao Ma Yuxiao Dong Kuansan Wang Jie Tang GNN AI4CE 210 588 0 15 Jul 2018
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces Minhyuk Sung Anastasia Dubrovina Vladimir G. Kim Leonidas Guibas 3DPC 141 9 0 04 Jul 2018
Empirical Risk Minimization and Stochastic Gradient Descent for Relational DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018 Victor Veitch Morgane Austern Wenda Zhou David M. Blei Peter Orbanz 157 11 0 27 Jun 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 540 2,339 0 22 Jun 2018
Towards Gene Expression Convolutions using Gene Interaction Graphs Francis Dutil Joseph Paul Cohen Martin Weiss Georgy Derevyanko Yoshua Bengio GNN 109 34 0 18 Jun 2018
Android Malware Detection using Large-scale Network Representation Learning Rui Zhu Chenglin Li Di Niu Hongwen Zhang Husam Kinawi GNN 126 11 0 13 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 792 2,226 0 09 Jun 2018
Spectral Network Embedding: A Fast and Scalable Method via Sparsity Jie Zhang Yan Wang Jie Tang Ming Ding GNN 68 5 0 07 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 673 962 0 07 Jun 2018