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Distance Encoding

Emerging
1papers using it
2020first seen

'Distance Encoding' is a method that involves labeling nodes in a graph based on their relationships with a target node set to facilitate the evaluation of multi-node representation learning using graph neural networks.

Papers using Distance Encoding (1)

Distance Encoding β€” datasets β€” graph-learning