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 ...
We find that degree dis- tributions within nodes' local neighborhoods can lead to simple yet effective baselines. We hope that our findings can influence the.
The first to contribute rigorous intrinsic and extrinsic evaluation methodology for structural embeddings, along with carefully-designed, diverse datasets ...
The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs. - GemsLab/StrucEmbedding-GraphLibrary.
Apr 23, 2018 · Toward Understanding and Evaluating Structural Node Embeddings. While most network embedding techniques model the proximity between nodes in ...
Toward Understanding and Evaluating Structural Node Embeddings. Citing Article. June 2022. ACM Transactions on Knowledge Discovery from Data. Junchen Jin. ·.
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With new node embedding methods being developed at a breakneck pace, proper evaluation, and systematic characterization of existing approaches will be essential ...
Toward understanding and evaluating structural node embeddings. ACM Trans. Knowl. Discov. Data, 16(3), nov 2021. [13] S. Kumar, X. Zhang, and J. Leskovec ...
Jun 19, 2023 · In this paper we propose a framework for unsupervised ranking of structural graph embeddings. The proposed framework, apart from assigning an aggregate quality ...
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