  Novelty is an inherent part of innovations and discoveries. Such processes
may be considered as an appearance of new ideas or as an emergence of atypical
connections between the existing ones. The importance of such connections hints
for investigation of innovations through network or graph representation in the
space of ideas. In such representation, a graph node corresponds to the
relevant concept (idea), whereas an edge between two nodes means that the
corresponding concepts have been used in a common context. In this study we
address the question about a possibility to identify the edges between existing
concepts where the innovations may emerge. To this end, we use a
well-documented scientific knowledge landscape of 1.2M arXiv.org manuscripts
dated starting from April 2007 and until September 2019. We extract relevant
concepts for them using the ScienceWISE.info platform. Combining approaches
developed in complex networks science and graph embedding, we discuss the
predictability of edges (links) on the scientific knowledge landscape where the
innovations may appear.
