2 papers
cs.LG2024
Rethinking Node Representation Interpretation through Relation Coherence
Ying-Chun Lin, Jennifer Neville, Cassiano Becker +3
Understanding node representations in graph-based models is crucial for uncovering biases ,diagnosing errors, and building trust in model decisions. However, previous work on expla…
cs.LG2024
Improving Node Representation by Boosting Target-Aware Contrastive Loss
Ying-Chun Lin, Jennifer Neville
Graphs model complex relationships between entities, with nodes and edges capturing intricate connections. Node representation learning involves transforming nodes into low-dimensi…