Abstract: Recently, self-supervised learning has shown great potential in Graph Neural Networks (GNNs) through contrastive learning, which aims to learn discriminative features for each node without ...
An externality occurs when the production or consumption of a good or service affects a third party who is not directly involved in the transaction. These effects can be either positive or negative.
Negative reinforcement, at its core, is a learning process where a behavior is strengthened by the removal of an unpleasant stimulus. Think of it as a "relief valve" for undesirable situations. When a ...
State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing 211112, China ...
In OneFlow Graph mode, performing an advanced indexing assignment using two integer index tensors (containing negative indices) causes an internal runtime error. The ...
To what extent does the digital world create a culture in which responsibility is denied or avoided, and what are the consequences of this failure to take ownership of a problem? Taking responsibility ...
It appears that LangExtract doesn't support negative examples. ExampleData only allows for postive examples. The prompt_description parameter doesn't appear to accept instructions that tell the module ...
Abstract: Multi-layered graphs are popular in mobility studies because transportation data include multiple modalities, such as railways, buses, and taxis. Another example of a multi-layered graph is ...
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