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GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
C++ 53 16
C++ 35 3
official repo for the NeurIPS 2022 paper "GREED: A Neural Framework for Learning Graph Distance Functions"
Python 27 3
Batching and Matching for Food Delivery in Dynamic Road Networks
C++ 26 4
Robust & Reliable Route Recommendation on Road Networks
Python 24 12
Forked from frigategnn/Frigate
Python 15
Learning to code for graph edit distance
GrpahTrail: Translating GNN Predictions into Human-Interpretable Logical Rules
Neural Graph Partitioning
FUGAL: Feature-fortified Unrestricted Graph Alignment [NeurIPS, 2024]
Benchmarking GNN explainers.
Generative modeling of Labeled Graphs Under Data Scarcity
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