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05/03/2023
An Exploration of Conditioning Methods in Graph Neural Networks
The flexibility and effectiveness of message passing based graph neural ...
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01/07/2023
Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings
Graph Neural Networks (GNNs) have achieved a lot of success with graph-s...
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12/19/2022
Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model
Compared to conventional bilingual translation systems, massively multil...
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11/10/2020