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TemporalNode2vec: Temporal Node Embedding in Temporal Networks
- Source :
- COMPLEX NETWORKS 2019 : 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 : 8th International Conference on Complex Networks and their Applications, Dec 2019, Lisbon, Portugal. ⟨10.1007/978-3-030-36687-2_74⟩, Complex Networks and Their Applications VIII ISBN: 9783030366865, COMPLEX NETWORKS (1)
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- The goal of graph embedding is to learn a representation of graphs vertices in a latent low-dimensional space in order to encode the structural information that lies in graphs. While real-world networks evolve over time, the majority of research focuses on static networks, ignoring local and global evolution patterns. A simplistic approach consists of learning nodes embeddings independently for each time step. This can cause unstable and inefficient representations over time.
- Subjects :
- Dynamic network embeddings
Latent representations
Theoretical computer science
Graph embedding
Computer science
Node (networking)
[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
02 engineering and technology
Space (commercial competition)
Time step
ENCODE
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Embedding
Graph representation learn- ing
020201 artificial intelligence & image processing
Global evolution
Representation (mathematics)
ComputingMilieux_MISCELLANEOUS
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-36686-5
- ISBNs :
- 9783030366865
- Database :
- OpenAIRE
- Journal :
- COMPLEX NETWORKS 2019 : 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 : 8th International Conference on Complex Networks and their Applications, Dec 2019, Lisbon, Portugal. ⟨10.1007/978-3-030-36687-2_74⟩, Complex Networks and Their Applications VIII ISBN: 9783030366865, COMPLEX NETWORKS (1)
- Accession number :
- edsair.doi.dedup.....3afd0a727a1841d486473c01bab0ce95