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Model weights for FLAG on the FIN10K dataset, including GCN, GAT, GIN, PNA, and GATv2 variants. Files are in pytorch ".pt" format.
long text documents, machine learning, financial documents, language models, graph neural networks, deep learning, text mining, information extraction, natural language processing, 10-K reports, text regression
long text documents, machine learning, financial documents, language models, graph neural networks, deep learning, text mining, information extraction, natural language processing, 10-K reports, text regression
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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