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Found 3 papers, 1 papers with code
Comparing Graph Transformers via Positional Encodings
The distinguishing power of graph transformers is closely tied to the choice of positional encoding: features used to augment the base transformer with information about the graph.
Safety Under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions
We propose a novel class of risk-aware control barrier functions (RA-CBFs) for the control of stochastic safety-critical systems.
Understanding Oversquashing in GNNs through the Lens of Effective Resistance
We propose to use total effective resistance as a bound of the total amount of oversquashing in a graph and provide theoretical justification for its use.
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