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Relational Graph Convolutional Networks for Sentiment Analysis
With the growth of textual data across online platforms, sentiment analysis has become crucial for extracting insights from user-generated content.
Edge2Node: Reducing Edge Prediction to Node Classification
Despite the success of graph neural network models in node classification, edge prediction (the task of predicting missing or potential links between nodes in a graph) remains a challenging problem for these models.
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Link Property Prediction
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BERT-DRE: BERT with Deep Recursive Encoder for Natural Language Sentence Matching
Three Bi-LSTM layers with residual connection are used to design a recursive encoder and an attention module is used on top of this encoder.
