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08/16/2022
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries
Knowledge graph (KG) embeddings have been a mainstream approach for reas...
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06/22/2022
GACT: Activation Compressed Training for General Architectures
Training large neural network (NN) models requires extensive memory reso...
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12/08/2021
Improving the Training of Graph Neural Networks with Consistency Regularization
Graph neural networks (GNNs) have achieved notable success in the semi-s...
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03/01/2021
