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In this paper, we propose a graph wavelet neural network (TT-GWNN) framework using topological and temporal features for link prediction in temporal networks. To capture topological and temporal features, we develope a second-order weighted random walk sampling algorithm. It combines network snapshots with both first-order and second-order weights into one weighted graph. Moreover, it incorporates a damping factor to assign greater weights to more recent snapshots. Next, we adopt graph wavelet neural networks to embed the vertices and use gated recurrent units for predicting new links. Extensive experiments demonstrate that TT-GWNN can effectively predict links on temporal networks.<\/jats:p>","DOI":"10.1093\/comjnl\/bxaa085","type":"journal-article","created":{"date-parts":[[2020,6,11]],"date-time":"2020-06-11T11:08:37Z","timestamp":1591873717000},"page":"325-336","source":"Crossref","is-referenced-by-count":4,"title":["Effective Link Prediction with Topological and Temporal Information using Wavelet Neural Network Embedding"],"prefix":"10.1093","volume":"64","author":[{"given":"Xian","family":"Mo","sequence":"first","affiliation":[{"name":"College of Computer & Information Science, Southwest University, 400715 Chongqing, China"},{"name":"Centre for Research and Innovation in Software Engineering, Southwest University, 400715 Chongqing, China"}]},{"given":"Jun","family":"Pang","sequence":"additional","affiliation":[{"name":"Faculty of Science, Technology and Medicine & Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, L-4364 Esch-sur-Alzette, Luxembourg"}]},{"given":"Zhiming","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer & Information Science, Southwest University, 400715 Chongqing, China"},{"name":"Centre for Research and Innovation in Software Engineering, Southwest University, 400715 Chongqing, China"}]}],"member":"286","published-online":{"date-parts":[[2020,7,23]]},"reference":[{"key":"2021120506111430800_ref1","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.physrep.2012.03.001","article-title":"Temporal networks","volume":"519","author":"Holme","year":"2012","journal-title":"Phys. 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