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View Code? Open in Web Editor NEWOfficial Implementation of S3GC: Scalable Self-Supervised Graph Clustering
Official Implementation of S3GC: Scalable Self-Supervised Graph Clustering
Congratulations for your NeurIPS 2022 paper 'S3GC: Scalable Self-Supervised Graph Clustering'. Great work! Could you open the source code of the proposed method? Thanks.
Official Implementation of S3GC can not be found in April 19, 2024.
We have observed that the S3GC model demonstrated commendable performance on large-scale graphs containing millions of nodes. This achievement is noteworthy. However, S3GC is primarily designed for unweighted networks. This raises the question of its applicability to weighted biological networks, which are prevalent in bioinformatics and where edge weights carry significant information. For example,
Liu R, Hirn M, Krishnan A. Accurately modeling biased random walks on weighted networks using node2vec+[J]. Bioinformatics, 2023, 39(1): btad047.
To adapt S3GC for weighted biological networks, several enhancements may be necessary to incorporate edge weights effectively. We would be grateful if you could provide some suggestions.
Hi, thanks for such a good work about graph node-level clustering, could u kindly release the code og S3GC as soon as possible? best regards
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