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Frameless Graph Knowledge Distillation

IEEE Transactions on Neural Networks and Learning Systems
Knowledge distillation (KD) has shown great potential for transferring knowledge from a complex teacher model to a simple student model in which the heavy learning task can be accomplished efficiently and without losing too much prediction accuracy. Recently, many attempts have been made by applying the KD mechanism to graph representation learning ...
Dai Shi   +4 more
openaire   +2 more sources

Knowledge Graphs

2023
Garima Gujral, J. Shivarama
openaire   +2 more sources

Knowledge Graphs 2023 - 1.0 Knowledge Representation with Graphs

2023
Sack, Harald   +3 more
openaire   +1 more source

Knowledge graphs

1992
van den Berg, Harmen   +4 more
openaire   +4 more sources

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