Abstract: Previous recommendation models build interest embeddings heavily relying on the observed interactions and optimize the embeddings with a contrast between the interactions and randomly ...
Abstract: Hard negative mining has shown effective in enhancing self-supervised contrastive learning (CL) on diverse data types, including graph CL (GCL). The existing hardness-aware CL methods ...
When a big_decimal is constructed with a string containing a large negative exponent, the exponent is mishandled. For example, big_decimal a("1.23456E-2147483647"); gets parsed as : unscaled_value = ...
School of Engineering, Institute of Computer Science, Intelligent Information Systems Research Group, Zurich University of Applied Sciences, Winterthur, Switzerland Many different methods for ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.4c01035. Implementation of ISA models; hyperparameter optimization ...
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Have you ever done a Google search to find a restaurant or look up what your favorite actor is up to? Most of us have, and therefore understand the benefit of knowledge graphs, possibly without even ...
Whether they’re positive or negative, our thoughts are powerful. When receiving feedback on a project at work, an athletic performance, or an academic paper, we tend to be more affected by negative ...
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