Our research paper has been accepted to The Web Conference 2024. . ├─ framework.png ├─ get_sub_counts.py ├─ main.py ├─ README.md │ ├─ CTAug │ ├─ evaluate.py │ ├─ model.py │ ├─ preprocess.py │ ├─ utils ...

Agents that operate autonomously benefit from lifelong learning capabilities. However, compatible training algorithms must comply with the decentralized nature of these systems which imposes ...

Abstract: Burgeoning graph contrastive learning (GCL) stands out in the graph domain with low annotated costs and high model performance improvements, which is typically composed of three standard ...

Foundational learning, which includes basic literacy, numeracy, and socio-emotional skills, is the foundation for a life of learning. They also foster social and emotional growth, cognitive ...

In a world where individual achievement often takes precedence over collective progress, our educational institutions have inadvertently fostered a competitive rather than a cooperative learning ...

Abstract: Graph matching aims to establish node correspondences between graphs, which is a classic combinatorial optimization problem. In recent years, (deep) learning-based methods have emerged as a ...

The long-held idea that language learning is better before adulthood is up for debate. Adults have a number of advantages when it comes to learning a second language, and it comes with major benefits.

1 College of Computer, Qinghai Normal University, Xining, China 2 The State Key Laboratory of Tibetan Intelligent Information Processing and Application, Xining, China Graph Neural Networks (GNNs) ...

Introduction: Aspect-based sentiment classification is a fine-grained sentiment classification task. State-of-the-art approaches in this field leverage graph neural networks to integrate sentence ...

The debate over online versus in-person classroom learning in K-12 education rages on, driven by concerns over student engagement, academic performance, and social-emotional development. Advocates of ...