Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,697 papers shown

Title
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 108 3,140 0 19 Feb 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 28 57 0 11 Feb 2019
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification Blaž Škrlj Matej Martinc Jan Kralj Nada Lavrac Senja Pollak 44 44 0 01 Feb 2019
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding Bin Kong Xin Wang Junjie Bai Yi Lu Feng Gao K. Cao Qi Song Shaoting Zhang Siwei Lyu Youbing Yin 41 3 0 29 Jan 2019
Label Efficient Semi-Supervised Learning via Graph Filtering Qimai Li Xiao-Ming Wu Han Liu Xiaotong Zhang Zhichao Guan 29 164 0 28 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 42 1 0 24 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 45 617 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 21 20 0 14 Jan 2019
Attributed Network Embedding via Subspace Discovery Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang 38 48 0 14 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 30 228 0 06 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 27 388 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 204 8,422 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 42 276 0 26 Dec 2018
Graph Transformation Policy Network for Chemical Reaction Prediction Kien Do T. Tran Svetha Venkatesh 54 161 0 22 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks Aravind Sankar Yanhong Wu Liang Gou Wei Zhang Hao Yang GNN 43 119 0 22 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 116 5,433 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 85 1,324 0 11 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 47 225 0 03 Dec 2018
Online Graph-Adaptive Learning with Scalability and Privacy Yanning Shen G. Leus G. Giannakis 35 32 0 03 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 20 13 0 30 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 24 227 0 27 Nov 2018
Role action embeddings: scalable representation of network positions George Berry GNN 21 2 0 19 Nov 2018
Outlier Aware Network Embedding for Attributed Networks S. Bandyopadhyay N. Lokesh M. Murty 37 92 0 19 Nov 2018
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition Hanqing Chao Yiwei He Junping Zhang Jianfeng Feng CVBM 30 514 0 15 Nov 2018
SepNE: Bringing Separability to Network Embedding Ziyao Li Liang Zhang Guojie Song GNN 28 13 0 14 Nov 2018
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning R. Ooi Chao-Han Huck Yang Pin-Yu Chen V. Eguíluz N. Kiani Hector Zenil D. Gómez-Cabrero Jesper N. Tegnér 35 1 0 14 Nov 2018
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 44 32 0 08 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 21 189 0 05 Nov 2018
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding Peifeng Wang Jialong Han Chenliang Li Rong Pan NAI GNN 33 156 0 04 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 41 257 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 29 42 0 02 Nov 2018
Mean-field theory of graph neural networks in graph partitioning T. Kawamoto Masashi Tsubaki T. Obuchi 21 58 0 29 Oct 2018
Learning and Interpreting Multi-Multi-Instance Learning Networks Alessandro Tibo M. Jaeger P. Frasconi AI4CE 47 23 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 37 78 0 25 Oct 2018
Convolutional Set Matching for Graph Similarity Yunsheng Bai Haoyang Ding Yizhou Sun Wei Wang GNN 29 38 0 23 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 134 1,670 0 14 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 97 1,621 0 04 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 66 2,355 0 27 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 41 76 0 17 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 22 489 0 14 Sep 2018
Context-Dependent Diffusion Network for Visual Relationship Detection Zhen Cui Chunyan Xu Wenming Zheng Jian Yang GNN 27 50 0 11 Sep 2018
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching Yunsheng Bai Haoyang Ding Yizhou Sun Wei Wang GNN 32 101 0 10 Sep 2018
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang Cao Xiao Tengfei Ma Hongyan Li Jimeng Sun GNN 30 257 0 06 Sep 2018
Smoothed Dilated Convolutions for Improved Dense Prediction Zhengyang Wang Shuiwang Ji 27 160 0 27 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 24 43 0 20 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Yizhou Sun Wei Wang GNN 21 317 0 16 Aug 2018
Learning Graph Embeddings from WordNet-based Similarity Measures Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Alexander Panchenko GNN 21 17 0 16 Aug 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 33 589 0 12 Aug 2018
DeepInf: Social Influence Prediction with Deep Learning J. Qiu Jian Tang Hao Ma Yuxiao Dong Kuansan Wang Jie Tang GNN AI4CE 24 538 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 18 9 0 04 Jul 2018