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Found 3 papers, 1 papers with code
Graph Neural Operators for Classification of Spatial Transcriptomics Data
Graph neural operators are a variant that utilize graph networks to learn this mapping between function spaces.
Yield strength insensitivity in a dual-phase high entropy alloy after prolonged high temperature annealing
These results offer new insights into the mechanical resiliency of this transformation-induced plasticity high entropy alloy under prolonged high temperature heat treatment.
Materials Science
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
In this paper, we identify that the main bottleneck is in the training mechanisms, where the negative instances used in training are not representative of the irrelevant documents in testing.
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Passage Retrieval
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