We’ll break down what nanotechnology really means, looking at the science behind manipulating matter at the nanoscale. You’ll ...

Abstract: A vast amount of textual and structural information is required for knowledge graph construction and its downstream tasks. However, most of the current knowledge graphs are incomplete due to ...

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...

How much screen time are students getting at school? By The Learning Network How do Americans feel about the affordability of education, housing, health care, having a family and retirement? By The ...

GOOD (Graph OOD) is a graph out-of-distribution (OOD) algorithm benchmarking library depending on PyTorch and PyG to make develop and benchmark OOD algorithms easily. Currently, GOOD contains 11 ...

# LLMRec python ./main.py # w/o-u-i python ./main.py --aug_sample_rate=0.0 # w/o-u python ./main.py --user_cat_rate=0 # w/o-u&i python ./main.py --user_cat_rate=0 ...

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