Graph Generation Comparison Hub
3 papers - avg viability 7.0
Top Papers
- Adaptive Edge Learning for Density-Aware Graph Generation(7.0)
A framework for generating realistic graph-structured data using adaptive edge learning and density-aware mechanisms.
- Are Expressive Encoders Necessary for Discrete Graph Generation?(7.0)
GenGNN offers a modular framework for efficient discrete graph generation with high validity rates.
- Graph-GRPO: Training Graph Flow Models with Reinforcement Learning(7.0)
Graph-GRPO is a reinforcement learning framework that enhances graph flow models for improved generation quality in applications like drug discovery.