Mar 25, 2022 · In this paper, we present the GraphDoc, a multimodal graph attention-based model for various document understanding tasks.

We do the multimodal feature fusion of each node by the gate fusion layer. The contextualization between each node is modeled by the graph attention layer.

In this paper, we present the GraphDoc, a multimodal graph attention-based model for various document understanding tasks. GraphDoc is pre-trained in a ...

In our work, we inject the graph structure in a document into the attention mechanism to form the graph attention layer instead of the original Transformer ...

The source code for Multimodal Pre-training Based on Graph Attention Network for Document Understanding.

The GraphDoc is a multimodal graph attention-based model for various document understanding tasks that learns a generic representation from only 320k ...

Apr 13, 2023 · Have you ever wondered how computers can read and understand documents? It's a tough task because documents come in all sorts of formats and ...

In this paper, we present the GraphDoc, a multimodal graph attention-based model for various document understanding tasks. GraphDoc is pre-trained in a ...

In this paper, we present the GraphDoc, a multimodal graph attention-based model for various document understanding tasks. GraphDoc is pre-trained in a ...

Mar 25, 2022 · In this paper, we present the GraphDoc, a multimodal graph attention-based model for various document understanding tasks. GraphDoc is pre- ...