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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 / 6,261 papers shown

Title
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks in Molecular Graph Analysis Katsuhiko Ishiguro S. Maeda Masanori Koyama GNN 175 33 0 04 Feb 2019
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text ClassificationComputer Speech and Language (CSL), 2019 Blaž Škrlj Matej Martinc Jan Kralj Nada Lavrac Senja Pollak 247 46 0 01 Feb 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded ObjectsInternational Conference on Machine Learning (ICML), 2019 Edward James Smith Scott Fujimoto Adriana Romero David Meger 146 96 0 31 Jan 2019
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding Sheng Zhou Jiajun Bu Xin Eric Wang Jiawei Chen Can Wang 200 28 0 31 Jan 2019
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data UnderstandingFrontiers of Physics (FP), 2019 Bin Kong Xin Wang Junjie Bai Yi Lu Feng Gao K. Cao Qi Song Shaoting Zhang Siwei Lyu Youbing Yin 141 3 0 29 Jan 2019
Label Efficient Semi-Supervised Learning via Graph Filtering Qimai Li Xiao-Ming Wu Han Liu Xiaotong Zhang Zhichao Guan 218 173 0 28 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 137 1 0 24 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Juil Sock GNN 289 760 0 23 Jan 2019
Constant Time Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN 172 10 0 23 Jan 2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games Xi Liu Muhe Xie Xidao Wen Rui Chen Yong Ge N. Duffield Na Wang 114 20 0 14 Jan 2019
Search Efficient Binary Network Embedding Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang 98 4 0 14 Jan 2019
Attributed Network Embedding via Subspace Discovery Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang 295 50 0 14 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 297 239 0 06 Jan 2019
Efficient Representation Learning Using Random Walks for Dynamic Graphs Hooman Peiro Sajjad Andrew Docherty Y. Tyshetskiy 131 29 0 05 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 611 454 0 05 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 1.5K 10,099 0 03 Jan 2019
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 336 343 0 26 Dec 2018
Invariant and Equivariant Graph Networks Haggai Maron Heli Ben-Hamu Nadav Shamir Y. Lipman 350 543 0 24 Dec 2018
Graph Transformation Policy Network for Chemical Reaction Prediction Kien Do T. Tran Svetha Venkatesh 211 172 0 22 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks Aravind Sankar Yanhong Wu Liang Gou Wei Zhang Hao Yang GNN 210 137 0 22 Dec 2018
COSINE: Compressive Network Embedding on Large-scale Information Networks Zhengyan Zhang Cheng Yang Zhiyuan Liu Maosong Sun Zhichong Fang Bo Zhang Leyu Lin GNN 107 7 0 21 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.9K 6,331 0 20 Dec 2018
Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding Jihwan Lee Dongchan Kim R. Sarikaya Young-Bum Kim 125 13 0 13 Dec 2018
The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation Zi Yin Vin Sachidananda B. Prabhakar 113 25 0 12 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 432 1,482 0 11 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 378 251 0 03 Dec 2018
Online Graph-Adaptive Learning with Scalability and Privacy Yanning Shen G. Leus G. Giannakis 154 33 0 03 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 95 14 0 30 Nov 2018
Scalable Graph Learning for Anti-Money Laundering: A First Look Mark Weber Jie Chen Toyotaro Suzumura A. Pareja Tengfei Ma Toyotaro Suzumura Tim Kaler C. E. Leiserson Tao B. Schardl 189 115 0 30 Nov 2018
Attributed Network Embedding for Incomplete Attributed Networks Chengbin Hou Shan He Ke Tang 61 1 0 28 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 181 244 0 27 Nov 2018
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs Dimitris Berberidis G. Giannakis 228 20 0 27 Nov 2018
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation Rim Assouel Mohamed Ahmed Marwin H. S. Segler Amir Saffari Yoshua Bengio 146 58 0 24 Nov 2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules Boris Knyazev Xiao Lin Mohamed R. Amer Graham W. Taylor GNN 122 31 0 23 Nov 2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning Stephen Bonner John Brennan Ibad Kureshi Georgios Theodoropoulos A. Mcgough B. Obara OOD 138 15 0 20 Nov 2018
Role action embeddings: scalable representation of network positions George Berry GNN 92 2 0 19 Nov 2018
Outlier Aware Network Embedding for Attributed NetworksAAAI Conference on Artificial Intelligence (AAAI), 2018 S. Bandyopadhyay N. Lokesh M. Murty 149 99 0 19 Nov 2018
Data-Efficient Graph Embedding Learning for PCB Component DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2018 Chia-Wen Kuo Jacob Ashmore David Huggins Z. Kira 130 51 0 16 Nov 2018
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition Hanqing Chao Yiwei He Junping Zhang Jianfeng Feng CVBM 284 597 0 15 Nov 2018
Streaming Network Embedding through Local Actions Xi Liu Ping-Chun Hsieh N. Duffield Rui Chen Muhe Xie Xidao Wen GNN 95 6 0 14 Nov 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 373 1,594 0 14 Nov 2018
SepNE: Bringing Separability to Network Embedding Ziyao Li Liang Zhang Guojie Song GNN 146 13 0 14 Nov 2018
Learning Representations of Missing Data for Predicting Patient Outcomes Brandon M. Malone Alberto García-Durán Mathias Niepert 127 20 0 12 Nov 2018
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion Mingmin Zhen Jinglu Wang Lei Zhou Jinbo Bi Tian Fang Long Quan GNN 163 672 0 11 Nov 2018
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 304 281 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