Search Results for author:
Found 2 papers, 0 papers with code
FDGNN: Fully Dynamic Graph Neural Network
The few GNN models on dynamic graphs only consider exceptional cases of dynamics, e. g., node attribute-dynamic graphs or structure-dynamic graphs limited to additions or changes to the graph's edges, etc.
Graph Neural Networks Designed for Different Graph Types: A Survey
Moreover, we distinguish between GNN models for discrete-time or continuous-time dynamic graphs and group the models according to their architecture.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
