HOPPER learns graph- and hop-adaptive sequence extraction for linearized graph sequence models, recovering fixed LGSM extractors as special cases and achieving the best reported scores on eccentricity and shortest-path prediction in ECHO-SYNTH.
On the bottleneck of graph neural networks and its practical implications
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HOPPER: Learnable Hop Extraction for Linearized Graph Sequence Models
HOPPER learns graph- and hop-adaptive sequence extraction for linearized graph sequence models, recovering fixed LGSM extractors as special cases and achieving the best reported scores on eccentricity and shortest-path prediction in ECHO-SYNTH.