Graph Generation
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Benchmarks
Toulouse Road Network
Most implemented
Junction Tree Variational Autoencoder for Molecular Graph Generation
Unbiased Scene Graph Generation from Biased Training
Learning to Compose Dynamic Tree Structures for Visual Contexts
Scene Graph Generation by Iterative Message Passing
Structured Sparse R-CNN for Direct Scene Graph Generation
Papers
When Evidence Shapes Collaboration: Knowledge-Conditioned Topology Generation for Multi-Agent Systems
Multi-Agent Systems (MAS) have recently moved from static workflows toward dynamically generated collaboration topologies. However, existing topology generation methods rely primarily on the parametric knowledge of large…
Graph GenerationGromov-Monge Flow Matching for Equivariant Graph Generation
Graphs are invariant under node permutations, motivating the use of permutation-equivariant architectures in generative models. In flow matching, however, symmetry may also enter the source--target coupling: once graph p…
Graph GenerationDiffusion Transformers for Roof Graph Synthesis and Reconstruction
We present RoofDiT, a generative framework for 2D roof graph synthesis and reconstruction. Roofs are compactly described as planar graphs of junctions and structural edges, but existing methods often rely on fixed geomet…
Graph GenerationReward-Guided Autoregressive Graph Generation for Efficient Multi-Agent Communication Topology Design
LLM-based Multi-Agent Systems (MAS) achieve strong performance on complex reasoning tasks by coordinating multiple agents, but at the cost of substantial token consumption. Recent work on automatic topology design, ARG-D…
Reinforcement LearningGraph GenerationGraphK: Variable-Size Graph Generation with Efficient Edge Construction
Graph generation models have advanced significantly with deep learning, yet they remain limited in scalability, flexibility, and ability to model underlying structures. We present GraphK, a novel encoder-sampler-decoder …
Computational EfficiencyGraph GenerationFRAGMENT: Factorized Graph Representations for Document Generation and Editing via Entity-Aware Transformations
Structured documents such as invoices, forms, reports, and scientific articles derive meaning from the interplay between spatial layout, textual content, and logical structure. Generative models operating at the pixel or…
Graph Generation