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hello everyone welcome to the new video today well be talking about this paper which is titled as line large-scale information network embedding this from researchers from microsoft asia peaking university and university of michigan so this is one of the early works and foundational papers in the domain of machine learning with graphs or can also be thought as network learning where the idea is to kind of represent the components of graph or sometimes the graph itself in some high dimensional space in a vector form so that it preserves the semantics that were there in the original graph as well such as neighborhood properties and relations so this paper were published somewhere around 2015 in world wide web conference so lets start with abstract also before we start you might hear some disturbance due to the construction work thats going on in the second floor of my house and yeah i cannot help that and its really hot outside for me to go in the car and record this thing so i hope