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NODE2VEC

Node2vec

Node graph framework

node2vec is an algorithm to generate vector representations of nodes on a graph. The node2vec framework learns low-dimensional representations for nodes

Node2vec

Feature learning

Set of learning techniques in machine learning

embedded representation of each node based on the overall network topology. node2vec extends the word2vec training technique to nodes in a graph by using co-occurrence

Feature learning

Feature_learning

Jure Leskovec

Slovene computer scientist

91119. Wikidata Q54963122. Aditya Grover; Jure Leskovec (August 2016). "node2vec: Scalable Feature Learning for Networks". Proceedings of the ACM SIGKDD

Jure Leskovec

Jure_Leskovec

Link prediction

Problem in network theory

a convenient way to predict links. Graph embedding algorithms, such as Node2vec, learn an embedding space in which neighboring nodes are represented by

Link prediction

Link_prediction

Struc2vec

representations on a graph that preserve the structural identity. In contrast to node2vec, that optimizes node embeddings so that nearby nodes in the graph have

Struc2vec

Author name disambiguation

Process of identifying different authors referred to in the same or closely similar ways

"Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec.". Proceedings of the Eleventh ACM International Conference on Web Search

Author name disambiguation