Jan 14, 2021 · We are the first to contribute rigorous intrinsic and extrinsic evaluation methodology for structural embeddings, along with carefully-designed, diverse ...
Nov 15, 2021 · Node embeddings capture similarity between nodes in a multi-dimensional space: the closer two nodes are embedded, the more similar they are in ...
Our main goal is to introduce methodology for understanding and evaluating structural embedding methods, not to exhaustively eval- uate all methods. Thus, we ...
Nov 15, 2021 · We are the first to contribute rigorous intrinsic and extrinsic evaluation methodology for structural embeddings, along with carefully-designed, diverse ...
This work develops structural node embedding methods that build on sociological theory and technical advances developed specifically for signed networks.
Oct 22, 2024 · These embeddings are based on the principle that nodes having similar functions, ties or interactions should be close in the embedding space, ...
May 5, 2022 · Junchen Jin, Mark Heimann, Di Jin, Danai Koutra: Towards Understanding and Evaluating Structural Node Embeddings. CoRR abs/2101.05730 (2021).
(PDF) Towards Understanding and Evaluating Structural Node ...
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Jan 14, 2021 · We are the first to contribute rigorous intrinsic and extrinsic evaluation methodology for structural embeddings, along with carefully-designed, ...
The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs. - GemsLab/StrucEmbedding-GraphLibrary.
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Co-authors ; Toward understanding and evaluating structural node embeddings. J Jin, M Heimann, D Jin, D Koutra. ACM Transactions on Knowledge Discovery from Data ...