20.500.12556/RUL-177961 A survey on bipartite graphs embedding Research on graph representation learning (a.k.a. embedding) has received great attention in recent years and shows effective results for various types of networks. Nevertheless, few initiatives have been focused on the particular case of embeddings for bipartite graphs. In this paper, we first define the graph embedding problem in the case of bipartite graphs. Next, we propose a taxonomy of approaches used to tackle this problem and draw a description of state-of-the-art methods. Then, we establish their pros and cons with respect to conventional network embeddings. Finally, we provide a description of available resources to lead experiments on the subject. graph embeddings bipartite graph representation learning graph-based pattern representations machine learning data mining survey benchmark vgrajevanje grafov dvodelni graf učenje reprezentacij predstavitve vzorcev na osnovi grafov strojno učenje rudarjenje podatkov anketa primerjalna analiza true false true Angleški jezik Slovenski jezik Članek v reviji 2026-01-14 13:25:22 2026-01-14 13:25:23 2026-01-15 04:21:35 0000-00-00 00:00:00 2023 0 0 16 str. iss. 1, art. 54 Vol. 13 Dec. 2023 0000-00-00 Zaloznikova Objavljeno apc 0000-00-00 0000-00-00 0000-00-00 004.89:519.17 1869-5469 10.1007/s13278-023-01058-z 264239619 RAZ_Giamphy_Edward_2023.pdf RAZ_Giamphy_Edward_2023.pdf 1 24BFF064A913EC7969DC55B2E05250B4 eb212846d9c1a893500a984e3cfd0624d062b2191056c2236ee780b660a8288f 3de5172c-f145-11f0-bf92-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=225424 https://hal.science/hal-04089238v1/document 1 10a11f32-f144-11f0-bf92-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=225423 Fakulteta za računalništvo in informatiko 0 0 0