graph2vec: Learning Distributed Representations of Graphs

graph2vec: Learning Distributed Representations of Graphs

17 July 2017

Mahinthan Chandramohan

Yang Liu

Shantanu Jaiswal

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Papers citing "graph2vec: Learning Distributed Representations of Graphs"

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Title
Subgraph Networks with Application to Structural Feature Space Expansion Qi Xuan Jinhuan Wang M. Zhao Junkun Yuan Chenbo Fu Zhongyuan Ruan Guanrong Chen 67 60 0 21 Mar 2019
Column2Vec: Structural Understanding via Distributed Representations of Database Schemas Michael J. Mior Alexander Ororbia 26 2 0 20 Mar 2019
A Survey on Graph Processing Accelerators: Challenges and Opportunities Chuangyi Gui Long Zheng Bingsheng He Cheng Liu Xinyu Chen Xiaofei Liao Hai Jin GNN 128 71 0 26 Feb 2019
Variational Recurrent Neural Networks for Graph Classification Edouard Pineau Nathan de Lara GNN 21 0 0 07 Feb 2019
Learning Features of Network Structures Using Graphlets Kun Tu Jian Li Don Towsley Dave Braines Liam D. Turner GNN 46 2 0 13 Dec 2018
Role action embeddings: scalable representation of network positions George Berry GNN 30 2 0 19 Nov 2018
A Simple Baseline Algorithm for Graph Classification Nathan de Lara Edouard Pineau 62 60 0 22 Oct 2018
Network Classification Based Structural Analysis of Real Networks and their Model-Generated Counterparts Marcell Nagy Roland Molontay GNN 32 5 0 19 Oct 2018
Geometric Scattering for Graph Data Analysis Feng Gao Guy Wolf M. Hirn GNN 93 113 0 07 Oct 2018
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications A. Narayanan C. Soh Lihui Chen Yang Liu Lipo Wang SSL 48 27 0 15 Sep 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 797 3,129 0 04 Jun 2018
Anonymous Walk Embeddings Sergey Ivanov Evgeny Burnaev GNN 65 181 0 30 May 2018
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks V. Zhelezniak Dan Busbridge April Shen Samuel L. Smith Nils Y. Hammerla SSL 50 4 0 09 May 2018
Attentional Multilabel Learning over Graphs: A Message Passing Approach Kien Do T. Tran Thin Nguyen Svetha Venkatesh 49 17 0 01 Apr 2018
Semi-supervised learning of hierarchical representations of molecules using neural message passing Hai V. Nguyen S. Maeda Kenta Oono 61 13 0 28 Nov 2017