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Network Embedding

25 papers with code · Methodology

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LINE: Large-scale Information Network Embedding

12 Mar 2015tangjianpku/LINE

This paper studies the problem of embedding very large information networks into low-dimensional vector spaces, which is useful in many tasks such as visualization, node classification, and link prediction.

GRAPH EMBEDDING LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION

Structural Deep Network Embedding

KDD 2016 suanrong/SDNE

Therefore, how to find a method that is able to effectively capture the highly non-linear network structure and preserve the global and local structure is an open yet important problem.

LINK PREDICTION NETWORK EMBEDDING

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

9 Oct 2017xptree/NetMF

This work lays the theoretical foundation for skip-gram based network embedding methods, leading to a better understanding of latent network representation learning.

NETWORK EMBEDDING

Splitter: Learning Node Representations that Capture Multiple Social Contexts

WWW 2019 benedekrozemberczki/Splitter

Recent interest in graph embedding methods has focused on learning a single representation for each node in the graph.

GRAPH EMBEDDING LINK PREDICTION NETWORK EMBEDDING

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks

10 Jul 2018GentleZhu/HEER

To cope with the challenges in the comprehensive transcription of HINs, we propose the HEER algorithm, which embeds HINs via edge representations that are further coupled with properly-learned heterogeneous metrics.

NETWORK EMBEDDING

Font Size: Community Preserving Network Embedding

AAAI 2017 benedekrozemberczki/M-NMF

While previous network embedding methods primarily preserve the microscopic structure, such as the first- and second-order proximities of nodes, the mesoscopic community structure, which is one of the most prominent feature of networks, is largely ignored.

COMMUNITY DETECTION NETWORK EMBEDDING

Learning Role-based Graph Embeddings

IJCAI 2018 benedekrozemberczki/role2vec

Random walks are at the heart of many existing network embedding methods.

NETWORK EMBEDDING