online-node2vec and dynnode2vec

online-node2vec
51
Established
dynnode2vec
41
Emerging
Maintenance 0/25
Adoption 8/25
Maturity 25/25
Community 18/25
Maintenance 0/25
Adoption 5/25
Maturity 25/25
Community 11/25
Stars: 57
Forks: 12
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: CC0-1.0
Stars: 12
Forks: 2
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m
Stale 6m

About online-node2vec

ferencberes/online-node2vec

Node Embeddings in Dynamic Graphs

This project helps researchers and data scientists understand how relationships evolve over time within dynamic networks, such as social media interactions or evolving collaboration graphs. It takes a stream of network events (like new connections or interactions) and produces numerical representations (embeddings) for each node, reflecting its current role and connections. This allows for tasks like identifying similar users or predicting future connections in real-time. It is designed for network scientists and data analysts working with changing relational data.

network-science social-network-analysis graph-analytics temporal-data-analysis relationship-modeling

About dynnode2vec

pedugnat/dynnode2vec

dynnode2vec is a python package that implements algorithms to embed dynamic graphs

This project helps data scientists and researchers understand how complex relationships evolve over time. You input a series of graphs representing a network's state at different moments, and it outputs numerical representations (embeddings) for each node, capturing its role and context within the changing network. This is useful for anyone analyzing dynamic social networks, biological interactions, or evolving infrastructure.

network-analysis social-network-dynamics biological-networks temporal-graph-analysis data-science-research

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