This is a PyTorch implementation of the GraphATA algorithm, which tries to address the multi-source domain adaptation problem without accessing the labelled source graph. Unlike previous multi-source ...
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Abstract: Graph convolutional networks (GCNs) have attracted considerable interest in skeleton-based action recognition. Existing GCN-based models have proposed methods to learn dynamic graph ...
Abstract: The nature of heterophilous graphs is significantly different from that of homophilous graphs, which causes difficulties in early graph neural network (GNN) models and suggests aggregations ...
The Fund seeks to track the investment results of an index composed of the total US investment-grade bond market. The fund seeks to track the investment results of the Bloomberg US Aggregate Bond ...
We propose Graph-of-Thought (GoT) reasoning, which models human thought processes not only as a chain but also as a graph. By representing thought units as nodes and connections between them as edges, ...
This is a reference document for designing food consumption and expenditure modules in household surveys. Food makes up the largest share of total household expenditure in low-income countries and, ...
Using administrative data from France, we document that within the same detailed occupation, industry, and commuting zone, workers who work from home earn on average 12% higher hourly wages than fully ...
A calorie deficit occurs when you burn more calories than you consume. Research suggests that a 500-calorie deficit may help with weight loss, but this depends on many factors and is different for ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...