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cs.LG2024
Fast and Robust Contextual Node Representation Learning over Dynamic Graphs
Xingzhi Guo, Silong Wang, Baojian Zhou +2
Real-world graphs grow rapidly with edge and vertex insertions over time, motivating the problem of efficiently maintaining robust node representation over evolving graphs. Recent…
cs.CL2024★ 1 cited
The Shape of Word Embeddings: Quantifying Non-Isometry With Topological Data Analysis
Ondřej Draganov, Steven Skiena
Word embeddings represent language vocabularies as clouds of -dimensional points. We investigate how information is conveyed by the general shape of these clouds, instead of rep…