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Augmenting the global semantic information between words to heterogeneous graph for deception detection
Detecting deceptive reviews can assist customers in gras** the real evaluation of products and services to make better purchase decisions and help...
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Syntax–Aware graph convolutional network for the recognition of chinese implicit inter-sentence relations
In the literature, most previous studies on English implicit inter-sentence relation recognition only focused on semantic interactions, which could...
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3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information
Molecular property prediction, crucial for early drug candidate screening and optimization, has seen advancements with deep learning-based methods....
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Social-SSL: Self-supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction
Earlier trajectory prediction approaches focus on ways of capturing sequential structures among pedestrians by using recurrent networks, which is...
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Multi-hop Syntactic Graph Convolutional Networks for Aspect-Based Sentiment Classification
Sentiment analysis is widely applied to online and offline applications such as marketing, customer service and social media. Aspect-based sentiment...
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Learning to solve graph metric dimension problem based on graph contrastive learning
Deep learning has been widely used to solve graph and combinatorial optimization problems. However, proper model deployment is critical for training...
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Sign language translation with hierarchical memorized context in question answering scenarios
Vision-based sign language translation (SLT) targets to translate sign language videos into understandable natural language sentences. Current SLT...
