Rajmonda S. Caceres

Consistent Alignment of Word Embedding Models

2017 · arXiv (Cornell University)

Word embedding models offer continuous vector representations that can capture rich contextual semantics based on their word co-occurrence patterns. While these word vectors can provide very effective features used in many NLP tasks such as …

Network Design through Graph Neural Networks: Identifying Challenges and Improving Performance

2023 · arXiv (Cornell University)

Graph Neural Network (GNN) research has produced strategies to modify a graph's edges using gradients from a trained GNN, with the goal of network design. However, the factors which govern gradient-based editing are understudied, obscuring …