v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

Neural Information Processing Systems (NeurIPS), 2017

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 6,260 papers shown

Title
HOPF: Higher Order Propagation Framework for Deep Collective Classification Priyesh Vijayan Yash Chandak Mitesh M. Khapra Srinivasan Parthasarathy Balaraman Ravindran 132 3 0 31 May 2018
On representation power of neural network-based graph embedding and beyond Akifumi Okuno Hidetoshi Shimodaira 55 2 0 31 May 2018
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning Shupeng Gui Xiangliang Zhang Delin Qu Mingrui Wu Jieping Ye Ji Liu 154 0 0 28 May 2018
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing D. Bacciu Federico Errica Alessio Micheli BDL GNN 106 74 0 27 May 2018
struc2gauss: Structural Role Preserving Network Embedding via Gaussian Embedding Yulong Pei Xin Du Jianpeng Zhang G. Fletcher Mykola Pechenizkiy 80 3 0 25 May 2018
Deep Graph Translation Xiaojie Guo Lingfei Wu Bo Pan GNN 186 35 0 25 May 2018
AffinityNet: semi-supervised few-shot learning for disease type prediction Tianle Ma A. Zhang 108 61 0 22 May 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 383 1,160 0 21 May 2018
Learning Permutations with Sinkhorn Policy Gradient Patrick Emami Sanjay Ranka 138 60 0 18 May 2018
Towards a Spectrum of Graph Convolutional Networks Mathias Niepert Alberto García-Durán GNN 61 1 0 04 May 2018
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings Saba A. Al-Sayouri Ekta Gujral Danai Koutra Evangelos E. Papalexakis Sarah S. Lam 68 10 0 03 May 2018
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network EmbeddingData Science and Engineering (DSE), 2018 Vachik S. Dave Baichuan Zhang Pin-Yu Chen M. Hasan BDL 182 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 127 7 0 17 Apr 2018
Walk-Steered Convolution for Graph Classification Jiatao Jiang Chunyan Xu Zhen Cui Tong Zhang Chengzhen Li Zhiqiang Wang GNN 127 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 196 183 0 03 Apr 2018
Attentional Multilabel Learning over Graphs: A Message Passing Approach Kien Do T. Tran Thin Nguyen Svetha Venkatesh 149 17 0 01 Apr 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 284 317 0 28 Mar 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang Xingjian Shi Junyuan Xie Hao Ma Irwin King Dit-Yan Yeung GNN 293 616 0 20 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification Renjie Liao Marc Brockschmidt Daniel Tarlow Alexander L. Gaunt R. Urtasun R. Zemel GNN 159 81 0 16 Mar 2018
Representation Learning over Dynamic Graphs Rakshit S. Trivedi Mehrdad Farajtabar P. Biswal H. Zha AI4TS AI4CE 219 58 0 11 Mar 2018
Attention-based Graph Neural Network for Semi-supervised Learning K. K. Thekumparampil Chong-Jun Wang Sewoong Oh Li Li GNN 211 362 0 10 Mar 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 300 167 0 07 Mar 2018
Convolutional Geometric Matrix Completion Kai-Lang Yao Wu-Jun Li Jianbo Yang Xinyan Lu GNN 143 9 0 02 Mar 2018
Bioinformatics and Medicine in the Era of Deep LearningThe European Symposium on Artificial Neural Networks (ESANN), 2018 D. Bacciu P. Lisboa José D. Martín R. Stoean A. Vellido AI4CE BDL 140 17 0 27 Feb 2018
Link Prediction Based on Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2018 Muhan Zhang Yixin Chen GNN 440 2,196 0 27 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 183 281 0 24 Feb 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration Emmy Liu Kelvin Guu Panupong Pasupat Tianlin Shi Abigail Z. Jacobs OnRL 170 274 0 24 Feb 2018
Learning Topic Models by Neighborhood Aggregation Ryohei Hisano 195 3 0 22 Feb 2018
Machine Learning Methods for Data Association in Multi-Object Tracking Patrick Emami P. Pardalos L. Elefteriadou Sanjay Ranka VOT 213 40 0 19 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 177 7 0 15 Feb 2018
NeVAE: A Deep Generative Model for Molecular Graphs Bidisha Samanta A. De G. Jana P. Chattaraj Niloy Ganguly Manuel Gomez Rodriguez GNN DRL BDL DiffM 282 231 0 14 Feb 2018
Graph2Seq: Scalable Learning Dynamics for Graphs S. Venkatakrishnan Mohammad Alizadeh Pramod Viswanath GNN 184 12 0 14 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 252 95 0 14 Feb 2018
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks Akifumi Okuno Tetsuya Hada Hidetoshi Shimodaira 128 15 0 13 Feb 2018
The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration Yihan Gao Chao Zhang Jian-wei Peng Aditya G. Parameswaran 94 4 0 10 Feb 2018
Learning Role-based Graph Embeddings Nesreen Ahmed Ryan Rossi J. B. Lee Theodore L. Willke R. Zhou Xiangnan Kong Hoda Eldardiry 236 102 0 07 Feb 2018
GeniePath: Graph Neural Networks with Adaptive Receptive Paths Ziqi Liu Chaochao Chen Longfei Li Jun Zhou Xiaolong Li Le Song Yuan Qi GNN 364 328 0 03 Feb 2018
Modeling polypharmacy side effects with graph convolutional networks Marinka Zitnik Monica Agrawal J. Leskovec GNN 273 1,193 0 02 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 331 1,646 0 30 Jan 2018
Multiview Deep Learning for Predicting Twitter Users' Location T. Do Duc Minh Nguyen Evaggelia Tsiligianni Bruno Cornelis Nikos Deligiannis 90 36 0 21 Dec 2017
Network Representation Learning: A Survey Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang GNN AI4TS 248 667 0 04 Dec 2017
Adversarial Network Embedding Quanyu Dai Qiang Li Jian Tang Dan Wang GNN GAN 161 227 0 21 Nov 2017
Motif-based Convolutional Neural Network on Graphs Aravind Sankar Xinyang Zhang Kevin Chen-Chuan Chang GNN 242 43 0 15 Nov 2017
Towards Plausible Graph Anonymization Yang Zhang Mathias Humbert Bartlomiej Surma Praveen Manoharan Jilles Vreeken Michael Backes 234 21 0 15 Nov 2017
STWalk: Learning Trajectory Representations in Temporal Graphs Supriya Pandhre Himangi Mittal Manish Gupta V. Balasubramanian 113 22 0 11 Nov 2017
Graph Attention NetworksInternational Conference on Learning Representations (ICLR), 2017 Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 2.2K 23,734 0 30 Oct 2017
Stochastic Training of Graph Convolutional Networks with Variance Reduction Jianfei Chen Jun Zhu Le Song GNN BDL 154 32 0 29 Oct 2017
Learning Structural Node Embeddings Via Diffusion WaveletsKnowledge Discovery and Data Mining (KDD), 2017 Claire Donnat Marinka Zitnik David Hallac J. Leskovec GNN DiffM 194 419 0 27 Oct 2017
Watch Your Step: Learning Node Embeddings via Graph Attention Sami Abu-El-Haija Bryan Perozzi Rami Al-Rfou Alexander A. Alemi GNN 161 32 0 26 Oct 2017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec J. Qiu Yuxiao Dong Hao Ma Jian Li Kuansan Wang Jie Tang 332 953 0 09 Oct 2017