1. Mining communities and their descriptions on attributed graphs: a survey

   • Martin Atzmueller
   • Stephan Günnemann
   • Albrecht Zimmermann

   OriginalPaper Open access 27 February 2021 Pages: 661 - 687

   

2. Deep graph similarity learning: a survey

   • Guixiang Ma
   • Nesreen K. Ahmed
   • Philip S. Yu

   OriginalPaper Open access 24 March 2021 Pages: 688 - 725

   

3. Detecting virtual concept drift of regressors without ground truth values

   • Emilia Oikarinen
   • Henri Tiittanen
   • Kai Puolamäki

   OriginalPaper Open access 04 February 2021 Pages: 726 - 747

   

4. ForestDSH: a universal hash design for discrete probability distributions

   • Arash Gholami Davoodi
   • Sean Chang
   • Hosein Mohimani

   OriginalPaper 11 February 2021 Pages: 748 - 795

   

5. Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency

   • Ben Halstead
   • Yun Sing Koh
   • Albert Bifet

   OriginalPaper 14 February 2021 Pages: 796 - 836

   

6. FuseRec: fusing user and item homophily modeling with temporal recommender systems

   • Kanika Narang
   • Yitong Song
   • Hari Sundaram

   OriginalPaper 15 February 2021 Pages: 837 - 862

   

7. Time series motifs discovery under DTW allows more robust discovery of conserved structure

   • Sara Alaee
   • Ryan Mercer
   • Eamonn Keogh

   OriginalPaper 16 February 2021 Pages: 863 - 910

   

8. Word-class embeddings for multiclass text classification

   • Alejandro Moreo
   • Andrea Esuli
   • Fabrizio Sebastiani

   OriginalPaper 19 February 2021 Pages: 911 - 963

   

9. Dataset2Vec: learning dataset meta-features

   • Hadi S. Jomaa
   • Lars Schmidt-Thieme
   • Josif Grabocka

   OriginalPaper Open access 25 February 2021 Pages: 964 - 985

   

10. Sparse randomized shortest paths routing with Tsallis divergence regularization

    • Pierre Leleux
    • Sylvain Courtain
    • Marco Saerens

    OriginalPaper 06 March 2021 Pages: 986 - 1031

    

11. Time series extrinsic regression

    • Chang Wei Tan
    • Christoph Bergmeir
    • Geoffrey I. Webb

    OriginalPaper 11 March 2021 Pages: 1032 - 1060

    

12. Multi-label learning with missing and completely unobserved labels

    • Jun Huang
    • Linchuan Xu
    • Kenji Yamanishi

    OriginalPaper Open access 12 March 2021 Pages: 1061 - 1086

    

13. Sequential recommendation with metric models based on frequent sequences

    • Corentin Lonjarret
    • Roch Auburtin
    • Marc Plantevit

    OriginalPaper 12 March 2021 Pages: 1087 - 1133

    

14. Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches

    • Lu Wang
    • Dongxiao Zhu

    OriginalPaper 23 March 2021 Pages: 1134 - 1161