Making GNNs ‘Topology-Aware’ to Advance their Expressive Power: New Paper from ETH, SIB & KU Leuven | Making GNNs 'Topology-Aware' to Advance their Expressive Power: New Paper from ETH, SIB & KU LeuvenSynced
A research team from ETH Zurich, SIB Swiss Institute of Bioinformatics, and KU Leuven proposes Topological Graph Layer (TOGL), a new type of graph neural network layer capable of leveraging the mul...
Source: Synced | AI Technology & Industry Review
A research team from ETH Zurich, SIB Swiss Institute of Bioinformatics, and KU Leuven proposes Topological Graph Layer (TOGL), a new type of graph neural network layer capable of leveraging the multi-scale topological information of input graphs.
