Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

35 / 2,135 papers shown

Title
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 206 886 0 07 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 114 3,489 0 06 Jun 2018
Embedding Logical Queries on Knowledge Graphs William L. Hamilton Payal Bajaj Marinka Zitnik Dan Jurafsky J. Leskovec NAI 33 287 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 118 3,083 0 04 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas J. Guibas AAML GNN 33 41 0 31 May 2018
On representation power of neural network-based graph embedding and beyond Akifumi Okuno Hidetoshi Shimodaira 21 2 0 31 May 2018
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning Shupeng Gui Xiangliang Zhang Shuang Qiu Mingrui Wu Jieping Ye Ji Liu 8 0 0 28 May 2018
AffinityNet: semi-supervised few-shot learning for disease type prediction Tianle Ma A. Zhang 21 55 0 22 May 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 37 1,054 0 21 May 2018
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding Vachik S. Dave Baichuan Zhang Pin-Yu Chen M. Hasan BDL 29 29 0 23 Apr 2018
Feature Propagation on Graph: A New Perspective to Graph Representation Learning B. Xiang Ziqi Liu Jun Zhou Xiaolong Li 3DV GNN 32 7 0 17 Apr 2018
Walk-Steered Convolution for Graph Classification Jiatao Jiang Chunyan Xu Zhen Cui Tong Zhang Chengzhen Li Jian Yang GNN 25 12 0 16 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 25 172 0 03 Apr 2018
Attentional Multilabel Learning over Graphs: A Message Passing Approach Kien Do T. Tran Thin Nguyen Svetha Venkatesh 29 17 0 01 Apr 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 33 296 0 28 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification Renjie Liao Marc Brockschmidt Daniel Tarlow Alexander L. Gaunt R. Urtasun R. Zemel GNN 22 76 0 16 Mar 2018
Representation Learning over Dynamic Graphs Rakshit S. Trivedi Mehrdad Farajtabar P. Biswal H. Zha AI4TS AI4CE 11 51 0 11 Mar 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 30 157 0 07 Mar 2018
Bioinformatics and Medicine in the Era of Deep Learning D. Bacciu P. Lisboa José D. Martín R. Stoean A. Vellido AI4CE BDL 33 17 0 27 Feb 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 17 1,904 0 27 Feb 2018
MILE: A Multi-Level Framework for Scalable Graph Embedding Jiongqian Liang Saket Gurukar Srinivas Parthasarathy GNN 22 77 0 26 Feb 2018
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification Sami Abu-El-Haija Amol Kapoor Bryan Perozzi Joonseok Lee GNN SSL 30 258 0 24 Feb 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration E. Liu Kelvin Guu Panupong Pasupat Tianlin Shi Percy Liang OnRL 24 207 0 24 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 41 7 0 15 Feb 2018
Edge Attention-based Multi-Relational Graph Convolutional Networks Chao Shang Qinqing Liu Ko-Shin Chen Jiangwen Sun Jin Lu Jinfeng Yi J. Bi GNN 35 93 0 14 Feb 2018
Learning Role-based Graph Embeddings Nesreen Ahmed Ryan Rossi J. B. Lee Theodore L. Willke R. Zhou Xiangnan Kong Hoda Eldardiry 23 96 0 07 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 56 1,505 0 30 Jan 2018
Adversarial Network Embedding Quanyu Dai Qiang Li Jian Tang Dan Wang GNN GAN 43 221 0 21 Nov 2017
Learning Structural Node Embeddings Via Diffusion Wavelets Claire Donnat Marinka Zitnik David Hallac J. Leskovec GNN DiffM 30 386 0 27 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 53 1,782 0 22 Sep 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 49 1,966 0 17 Sep 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking Aleksandar Bojchevski Stephan Günnemann BDL 32 639 0 12 Jul 2017
Semi-supervised Embedding in Attributed Networks with Outliers Jiongqian Liang Peter Jacobs Jiankai Sun Srinivasan Parthasarathy BDL 18 111 0 23 Mar 2017
Modeling Relational Data with Graph Convolutional Networks M. Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 95 4,736 0 17 Mar 2017
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels Nils M. Kriege Marion Neumann Christopher Morris Kristian Kersting Petra Mutzel 31 22 0 02 Mar 2017