SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations

8 September 2020

Papers citing "SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations"

26 / 26 papers shown

Title
Link Analysis meets Ontologies: Are Embeddings the Answer? Sebastian Mežnar Matej Bevec Nada Lavrac Blaž Škrlj 123 1 0 23 Nov 2021
Real-time Data Infrastructure at Uber Yupeng Fu Chinmay Soman 35 1 0 31 Mar 2021
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings Blaž Škrlj Jannis Brugger Nada Lavrac Matej Petković 33 5 0 23 Jan 2021
Propositionalization and Embeddings: Two Sides of the Same Coin Nada Lavrac Blaž Škrlj Marko Robnik-Šikonja 93 26 0 08 Jun 2020
Unifying Graph Convolutional Neural Networks and Label Propagation Hongwei Wang J. Leskovec GNN 81 168 0 17 Feb 2020
Symbolic Graph Embedding using Frequent Pattern Mining Blaž Škrlj Jan Kralj Nada Lavrac 33 4 0 29 Oct 2019
Embedding-based Silhouette Community Detection Blaž Škrlj Jan Kralj Nada Lavrac 46 21 0 17 Jul 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 437 8,441 0 03 Jan 2019
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 149 1,324 0 11 Dec 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 126 1,345 0 14 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 202 1,674 0 14 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 197 7,554 0 01 Oct 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 479 1,965 0 09 Jun 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 386 19,991 0 30 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 68 916 0 09 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 95 1,786 0 22 Sep 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 429 15,066 0 07 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 718 21,613 0 22 May 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 121 3,559 0 21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 538 28,901 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 170 10,825 0 03 Jul 2016
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis A. Benavoli Giorgio Corani J. Demšar Marco Zaffalon BDL 60 419 0 14 Jun 2016
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks Jian Tang Meng Qu Qiaozhu Mei AI4TS SSL 69 789 0 02 Aug 2015
LINE: Large-scale Information Network Embedding Jian Tang Meng Qu Mingzhe Wang Ming Zhang Jun Yan Qiaozhu Mei GNN 126 5,323 0 12 Mar 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 241 9,735 0 26 Mar 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 323 33,445 0 16 Oct 2013