Xinyu Hu

Adaptive imbalanced node classification graph contrastive learning

2025 · Neurocomputing

Graph Contrastive Learning (GCL) is a powerful self-supervised technique for learning node and graph representations. However, real-world graph data often exhibit imbalanced class distributions, which pose significant challenges to GCL’s effectiveness. Our experiments show that …

Exploring the Multilingual NLG Evaluation Abilities of LLM-Based Evaluators

2025 · arXiv (Cornell University)

Previous research has shown that LLMs have potential in multilingual NLG evaluation tasks. However, existing research has not fully explored the differences in the evaluation capabilities of LLMs across different languages. To this end, this …