Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings | Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Min...
If you are #KDD2025 this week, stop by David Liu's talk on "Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings". This is joint work withΒ Johan Ugander and Arjun Seshadri.
doi.org/10.1145/3711...
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Topology-driven negative sampling enhances generalizability in proteinβprotein interaction prediction
New paper in Bioinformatics on negative sampling. Thanks to Ayan Chatterjee and Babak Ravandi for leading this project.
academic.oup.com/bioinformati...
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Distinguished postdoctoral fellowship opportunity at Northeasternβs Khoury College of Computer Sciences (due date: Feb. 20): www.khoury.northeastern.edu/research/pos...
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Thanks for having me on Mindscape @seanmcarroll.bsky.social.
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