struc2vec swMATH ID: 36495 Software Authors: Leonardo F. R. Ribeiro, Pedro H. P. Savarese, Daniel R. Figueiredo Description: struc2vec: Learning Node Representations from Structural Identity. Structural identity is a concept of symmetry in which network nodes are identified according to the network structure and their relationship to other nodes. Structural identity has been studied in theory and practice over the past decades, but only recently has it been addressed with representational learning techniques. This work presents struc2vec, a novel and flexible framework for learning latent representations for the structural identity of nodes. struc2vec uses a hierarchy to measure node similarity at different scales, and constructs a multilayer graph to encode structural similarities and generate structural context for nodes. Numerical experiments indicate that state-of-the-art techniques for learning node representations fail in capturing stronger notions of structural identity, while struc2vec exhibits much superior performance in this task, as it overcomes limitations of prior approaches. As a consequence, numerical experiments indicate that struc2vec improves performance on classification tasks that depend more on structural identity. Homepage: https://arxiv.org/abs/1704.03165 Source Code: https://github.com/leoribeiro/struc2vec Dependencies: Python Keywords: Social Networks; arXiv_cs.SI; Machine Learning; arXiv_cs.LG; arXiv_stat.ML; struc2vec; Node Representations; feature learning; node embeddings; structural identity Related Software: DeepWalk; node2vec; LINE; word2vec; GraRep; PyTorch; GMNN; GraphVAE; NetGAN; GraphRNN; MolGAN; RolX; NetKit; ArnetMiner; Adam; PTE; CLUTRR; Walklets; NetProbe; STransE Cited in: 14 Documents Standard Articles 1 Publication describing the Software Year struc2vec: Learning Node Representations from Structural Identity Leonardo F. R. Ribeiro, Pedro H. P. Savarese, Daniel R. Figueiredo 2017 all top 5 Cited by 45 Authors 2 Bacciu, Davide 2 Errica, Federico 2 Lavrač, Nada 2 Micheli, Alessio 2 Škrlj, Blaž 1 Bedru, Hayat Dino 1 Chen, Junyang 1 Chen, Yiqi 1 Cui, Lin 1 Dasoulas, George 1 Gong, Zhiguo 1 Guo, He 1 Hamilton, William L. 1 Han, Xinyu 1 Khan, Izhar Ahmed 1 Kralj, Jan 1 Li, Bentian 1 Lin, Yunxia 1 Liu, Weiwen 1 Luo, Xiapu 1 Nikolentzos, Giannis 1 Pi, Dechang 1 Podda, Marco 1 Qian, Tieyun 1 Qin, Dong 1 Qin, Tao 1 Robnik-Šikonja, Marko 1 Small, Michael 1 Tan, Lulu 1 Vazirgiannis, Michalis 1 Wan, Liangtian 1 Wang, Chenxu 1 Wang, Harry Jiannan 1 Wang, Wei 1 Wu, Bangying 1 Wu, Chencheng 1 Xia, Feng 1 Xiao, Xinru 1 Yang, Yi 1 Yu, Shuo 1 Zhang, Da 1 Zhang, Kunpeng 1 Zhao, Yi 1 Zhao, Zhiyuan 1 Zhou, Yinzuo all top 5 Cited in 10 Serials 3 Information Sciences 2 Neural Networks 2 Machine Learning 1 Physica A 1 INFORMS Journal on Computing 1 Chaos 1 Data Mining and Knowledge Discovery 1 Journal of Machine Learning Research (JMLR) 1 Synthesis Lectures on Artificial Intelligence and Machine Learning 1 Computer Science Review all top 5 Cited in 6 Fields 11 Computer science (68-XX) 2 Statistics (62-XX) 2 Operations research, mathematical programming (90-XX) 1 Combinatorics (05-XX) 1 Statistical mechanics, structure of matter (82-XX) 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) Citations by Year