The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Multi-Scale attributed node embedding
Open accessAbstract
We present network embedding algorithms that capture information about a node from the local distribution over node attributes around it, as observed over random walks following an approach similar to Skip-gram. Observations from neighbourhoods of different sizes are either pooled (AE) or encoded distinctly in a multi-scale approach (MUSAE). Capturing attribute-neighbourhood relationships over multiple scales is useful for a range of applications, including latent feature identification across disconnected networks with similar features. We prove theoretically that matrices of node-feature pointwise mutual information are implicitly factorized by the embeddings. Experiments show that our algorithms are computationally efficient and outperform comparable models on social networks and web graphs.
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Cites
Adam: A Method for Stochastic Optimization
Kingma, D. P., & Ba, J. (2014) · arXiv · doi:10.48550/arxiv.1412.6980 · Cited by 98,946
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016
Efficient Estimation of Word Representations in Vector Space
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568
(2010) · International Conference on Machine Learning · Cited by 13,995
node2vec: Scalable Feature Learning for Networks
Grover, A., & Leskovec, J. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2939672.2939754 · Cited by 10,926
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
Karypis, G., & Kumar, V. (1998) · SIAM Journal on Scientific Computing · doi:10.1137/s1064827595287997 · Cited by 5,762
Neural Word Embedding as Implicit Matrix Factorization
Levy, O., & Goldberg, Y. (2014) · neural information processing systems · Cited by 1,582
GraRep: Learning Graph Representations with Global Structural Information
Cao, S., Lu, W., & Xu, Q. (2015) · Proceedings of the 24th ACM International on Conference on Information and Knowledge Management · doi:10.1145/2806416.2806512 · Cited by 1,571
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Chiang, W.-L., Liu, X., Si, S., Li, Y., Bengio, S., & Hsieh, C.-J. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining · doi:10.1145/3292500.3330925 · Cited by 1,331
Asymmetric Transitivity Preserving Graph Embedding
Ou, M., Cui, P., Pei, J., Zhang, Z., & Zhu, W. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2939672.2939751 · Cited by 1,248
Cited by
Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges
Martínez Beltrán, E. T., Pérez, M. Q., Sánchez, P. M. S., Bernal, S. L., Bovet, G., Pérez, M. G., Pérez, G. M., & Celdrán, A. H. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3315746 · Cited by 625
Geom-GCN: Geometric Graph Convolutional Networks
Pei, H., Wei, B., Chang, K. C., Yu, L., & Yang, B. X. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2002.05287 · Cited by 396
Metadata
- Authors
- Rozemberczki, B., Allen, C., & Sarkar, R.
- Venue
- Journal of Complex Networks
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-04-01
- Volume
- 9
- Issue
- 2
- ISSN
- 2051-1310 (ISSN-L)
- 2051-1329
- OpenAlex
- W2975966238
- Cited by
- 640
- References
- 31
- FWCI
- 33.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
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