Representation Learning on Graphs: Methods and Applications

17 September 2017

Papers citing "Representation Learning on Graphs: Methods and Applications"

34 / 334 papers shown

Title
Learning Features and Abstract Actions for Computing Generalized Plans Blai Bonet Guillem Francès Hector Geffner 22 59 0 17 Nov 2018
Deep Learning Super-Diffusion in Multiplex Networks Vito M. Leli Saeed Osat T. Tlyachev Dmitry Dylov Jacob D. Biamonte GNN AI4CE 16 3 0 09 Nov 2018
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding Peifeng Wang Jialong Han Chenliang Li Rong Pan NAI GNN 17 156 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
A Regularized Attention Mechanism for Graph Attention Networks U. Shanthamallu Jayaraman J. Thiagarajan A. Spanias OOD GNN 19 17 0 01 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 26 169 0 29 Oct 2018
TNE: A Latent Model for Representation Learning on Networks Abdulkadir Çelikkanat Fragkiskos D. Malliaros 22 3 0 16 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 1,609 0 04 Oct 2018
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation Jundong Li Liang Wu Huan Liu 8 35 0 26 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 21 314 0 16 Aug 2018
Learning Graph Embeddings from WordNet-based Similarity Measures Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Alexander Panchenko GNN 15 17 0 16 Aug 2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi Qi Zhu Fang Guo Chao Zhang Jiawei Han 16 118 0 10 Jul 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules Shengchao Liu M. F. Demirel Yingyu Liang GNN NAI 13 192 0 24 Jun 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 99 2,126 0 22 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 117 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
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 35 907 0 30 May 2018
Anonymous Walk Embeddings Sergey Ivanov Evgeny Burnaev GNN 20 178 0 30 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
Conditional Network Embeddings Bo Kang Jefrey Lijffijt T. D. Bie 20 44 0 19 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
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
Representation Learning over Dynamic Graphs Rakshit S. Trivedi Mehrdad Farajtabar P. Biswal H. Zha AI4TS AI4CE 11 51 0 11 Mar 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 43 831 0 24 Feb 2018
Machine Learning Methods for Data Association in Multi-Object Tracking Patrick Emami P. Pardalos L. Elefteriadou Sanjay Ranka VOT 27 40 0 19 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
Learning Structural Node Embeddings Via Diffusion Wavelets Claire Donnat Marinka Zitnik David Hallac J. Leskovec GNN DiffM 30 386 0 27 Oct 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking Aleksandar Bojchevski Stephan Günnemann BDL 32 639 0 12 Jul 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
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,243 0 24 Nov 2016