2016 Node2vecScalableFeatureLearning

• (Grover & Leskovec, 2016) ⇒ Aditya Grover, and Jure Leskovec. (2016). “node2vec: Scalable Feature Learning for Networks.” In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-4232-2 doi:10.1145/2939672.2939754

Subject Headings: node2vec Algorithm.

Cited By

• http://scholar.google.com/scholar?q=%222016%22+node2vec%3A+Scalable+Feature+Learning+for+Networks
• http://dl.acm.org/citation.cfm?id=2939672.2939754&preflayout=flat#citedby

Quotes

Abstract

Prediction tasks over nodes and edges in networks require careful effort in engineering features used by learning algorithms. Recent research in the broader field of representation learning has led to significant progress in automating prediction by learning the features themselves. However, present feature learning approaches are not expressive enough to capture the diversity of connectivity patterns observed in networks. Here we propose node2vec, an algorithmic framework for learning continuous feature representations for nodes in networks. In node2vec, we learn a mapping of nodes to a low-dimensional space of features that maximizes the likelihood of preserving network neighborhoods of nodes. We define a flexible notion of a node's network neighborhood and design a biased random walk procedure, which efficiently explores diverse neighborhoods. Our algorithm generalizes prior work which is based on rigid notions of network neighborhoods, and we argue that the added flexibility in exploring neighborhoods is the key to learning richer representations.

We demonstrate the efficacy of node2vec over existing state-of-the-art techniques on multi-label classification and link prediction in several real-world networks from diverse domains. Taken together, our work represents a new way for efficiently learning state-of-the-art task-independent representations in complex networks.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2016 Node2vecScalableFeatureLearning	Jure Leskovec Aditya Grover			node2vec: Scalable Feature Learning for Networks				10.1145/2939672.2939754		2016