Revisiting Semi-Supervised Learning with Graph Embeddings

29 March 2016

Papers citing "Revisiting Semi-Supervised Learning with Graph Embeddings"

40 / 1,040 papers shown

Title
LASAGNE: Locality And Structure Aware Graph Node Embedding Evgheniy Faerman Felix Borutta K. Fountoulakis Michael W. Mahoney GNN 21 18 0 17 Oct 2017
Safe Semi-Supervised Learning of Sum-Product Networks Martin Trapp Tamas Madl Robert Peharz Franz Pernkopf R. Trappl TPM 24 14 0 10 Oct 2017
Learning Graph Representations with Embedding Propagation Alberto García-Durán Mathias Niepert GNN SSL 29 167 0 09 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 21 913 0 09 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 58 1,967 0 17 Sep 2017
A Framework for Generalizing Graph-based Representation Learning Methods Nesreen Ahmed Ryan A. Rossi R. Zhou J. B. Lee Xiangnan Kong Theodore L. Willke Hoda Eldardiry 14 20 0 14 Sep 2017
Semi-Supervised Instance Population of an Ontology using Word Vector Embeddings Vindula Jayawardana Dimuthu Lakmal Nisansa de Silva A. Perera Keet Sugathadasa Buddhi Ayesha M. Perera 17 24 0 09 Sep 2017
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection Xiaojun Xu Chang-rui Liu Qian Feng Heng Yin Le Song D. Song GNN 24 576 0 22 Aug 2017
ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections Sujith Ravi 33 62 0 02 Aug 2017
Graph Classification with 2D Convolutional Neural Networks A. Tixier Giannis Nikolentzos Polykarpos Meladianos Michalis Vazirgiannis GNN 13 23 0 29 Jul 2017
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning Ziliang Chen Keze Wang Tianlin Li Pai Peng E. Izquierdo Liang Lin 31 9 0 28 Jul 2017
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging Sheng Chen Akshay Soni Aasish Pappu Yashar Mehdad VLM 3DV 27 29 0 14 Jul 2017
Graph Convolution: A High-Order and Adaptive Approach Zhenpeng Zhou Xiaocheng Li GNN 22 22 0 29 Jun 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis Nitika Verma Edmond Boyer Jakob Verbeek 3DPC GNN 26 25 0 16 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs Jean-Charles Vialatte Vincent Gripon G. Coppin 22 5 0 08 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 78 14,932 0 07 Jun 2017
Attributed Network Embedding for Learning in a Dynamic Environment Jundong Li Harsh Dani Xia Hu Jiliang Tang Yi-Ju Chang Huan Liu 21 366 0 06 Jun 2017
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 22 481 0 27 May 2017
Learning from Complementary Labels Takashi Ishida Gang Niu Weihua Hu Masashi Sugiyama 15 161 0 22 May 2017
Data-adaptive Active Sampling for Efficient Graph-Cognizant Classification Dimitris Berberidis G. Giannakis 14 13 0 19 May 2017
GAR: An efficient and scalable Graph-based Activity Regularization for semi-supervised learning Ozsel Kilinc Ismail Uysal 20 28 0 19 May 2017
Active Learning for Graph Embedding Hongyun Cai V. Zheng Kevin Chen-Chuan Chang GNN 28 97 0 15 May 2017
A Neural Model for User Geolocation and Lexical Dialectology Afshin Rahimi Trevor Cohn Timothy Baldwin FedML 19 79 0 13 Apr 2017
Semi-supervised Embedding in Attributed Networks with Outliers Jiongqian Liang Peter Jacobs Jiankai Sun Srinivasan Parthasarathy BDL 18 111 0 23 Mar 2017
Semi-Supervised Learning with Competitive Infection Models Nir Rosenfeld Amir Globerson SSL 8 6 0 19 Mar 2017
Semi-Supervised Deep Learning for Fully Convolutional Networks Christoph Baur Shadi Albarqouni Nassir Navab SSL 29 124 0 17 Mar 2017
Neural Graph Machines: Learning Neural Networks Using Graphs T. Bui Sujith Ravi Vivek Ramavajjala GNN 30 29 0 14 Mar 2017
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity Eliav Buchnik E. Cohen 13 22 0 07 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks F. Such Shagan Sah Miguel Domínguez Suhas Pillai Chao Zhang A. Michael N. Cahill R. Ptucha GNN 29 140 0 02 Mar 2017
Semi-Supervised QA with Generative Domain-Adaptive Nets Zhilin Yang Junjie Hu Ruslan Salakhutdinov William W. Cohen OOD 35 151 0 07 Feb 2017
On Spectral Analysis of Directed Signed Graphs Yuemeng Li Xintao Wu Aidong Lu 31 10 0 23 Dec 2016
Robust Classification of Graph-Based Data Carlos M. Alaíz Michaël Fanuel Johan A. K. Suykens 29 3 0 21 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016
GRAM: Graph-based Attention Model for Healthcare Representation Learning Edward Choi M. T. Bahadori Le Song Walter F. Stewart Jimeng Sun GNN 44 663 0 21 Nov 2016
Node Embedding via Word Embedding for Network Community Discovery Weicong Ding Christy Lin Prakash Ishwar 20 17 0 09 Nov 2016
From Node Embedding To Community Embedding V. Zheng Sandro Cavallari Hongyun Cai Kevin Chen-Chuan Chang Min Zhang GNN 28 33 0 31 Oct 2016
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction Ryohei Hisano 37 52 0 14 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 27 28,626 0 09 Sep 2016
Semi-Supervised Learning on Graphs through Reach and Distance Diffusion E. Cohen 19 5 0 30 Mar 2016