diaohancai opened a new issue, #279: URL: https://github.com/apache/incubator-hugegraph-computer/issues/279
### Feature Description (功能描述) According to the paper《_**node2vec: scalable feature learning for networks**_》. The current random walk algorithm requires 2 additional features. 1. Biased random walk. 2. Second order random walk. Biased random walk, control through edge weight. Second order random walk, add 2 parameters to control the walking strategy. (1) parameter p, called returnFactor. Controls the probability of re-walk to a previously walked vertex (2) parameter q, called inOutFactor. Controls whether to walk inward or outward. Please refer to the paper design diagram: ### P1 <img width="654" alt="image" src="https://github.com/apache/incubator-hugegraph-computer/assets/36229835/fbfc684c-5df1-41cf-870b-f3a804a5ffec";> ### P2 <img width="632" alt="image" src="https://github.com/apache/incubator-hugegraph-computer/assets/36229835/5fa6037b-e91b-484b-b378-4bc9ed8c0059";> -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
