SOTAVerified

Graph Generation

Graph Generation is an important research area with significant applications in drug and material designs.

Source: Graph Deconvolutional Generation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 91–100 of 712 papers

TitleStatusHype
A Fair Ranking and New Model for Panoptic Scene Graph GenerationCode1
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
Are scene graphs good enough to improve Image Captioning?Code1
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and RetentionCode1
3D Vessel Graph Generation Using Denoising DiffusionCode1
Compositional Feature Augmentation for Unbiased Scene Graph GenerationCode1
A Review and Efficient Implementation of Scene Graph Generation MetricsCode1
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph GenerationCode1
Dense Relational Image Captioning via Multi-task Triple-Stream NetworksCode1
Generative Modelling of Structurally Constrained GraphsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RNNStreetMover0.03—Unverified
2GraphRNNStreetMover0.02—Unverified
3GGT without CAStreetMover0.02—Unverified
4GGTStreetMover0.02—Unverified