GraphFLEx uses clustering, hashing-based coarsening, and local graph learning to incrementally infer structure in large expanding graphs, claiming faster runtime and near-original accuracy.
Graph neural networks: A review of methods and applications,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
GraphFLEx: Structure Learning Framework for Large Expanding Graphs
GraphFLEx uses clustering, hashing-based coarsening, and local graph learning to incrementally infer structure in large expanding graphs, claiming faster runtime and near-original accuracy.