63 citations · 430 across the 44 of their papers we have counts for
3 papers · 2 filters
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Balasubramaniam Srinivasan, Bruno Ribeiro
This work provides the first unifying theoretical framework for node (positional) embeddings and structural graph representations, bridging methods like matrix factorization and gr…
Are Graph Neural Networks Miscalibrated?
Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro
Graph Neural Networks (GNNs) have proven to be successful in many classification tasks, outperforming previous state-of-the-art methods in terms of accuracy. However, accuracy alon…
Relational Pooling for Graph Representations
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak Rao +1
This work generalizes graph neural networks (GNNs) beyond those based on the Weisfeiler-Lehman (WL) algorithm, graph Laplacians, and diffusions. Our approach, denoted Relational Po…