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LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding
Maximilien Danisch, Jean-Loup Guillaume, Ayan K. Bhowmick, Koushik Meneni, Bivas Mitra
Graph algorithmics, graph embeddings
WSDM2020
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Billion-scale Network Embedding with Iterative Random Projection
Peng Cui, Wenwu Zhu, Ziwei Zhang, Haoyang Li, Xiao Wang
graph embeddings
ICDM2018
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HARP: Hierarchical Representation Learning for Networks
Haochen Chen, Bryan Perozzi, Yifan Hu, Steven Skiena
graph embeddings
AAAI2018
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Motif-Aware Graph Embeddings
Hoang Nguyen and Tsuyoshi Murata
graph embeddings, network motifs
Social network
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Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization
Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya
graph embeddings, graph theory
Real-world graphs, clustering, Max-cut, embeddings
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Asymmetric Transitivity Preserving Graph Embedding
Peng Cui, Mingdong Ou, Jian Pei
graph embeddings, Representation learning
directed unsigned networks
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SIGNet: Scalable Embeddings for Signed Networks
Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan
Social networks, graph embeddings
Signed social network embedding
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Signed Network Embedding in Social Media
Suhang Wang, Jiliang Tang, Charu Aggarwal
Social network, graph embeddings, Representation learning
balance theory, Signed social network
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VERSE: Versatile Graph Embeddings from Similarity Measures
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller
graph embeddings
WWW2018