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 1–25 of 712 papers

TitleStatusHype
4D Panoptic Scene Graph GenerationCode3
SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language UnderstandingCode2
DeFoG: Discrete Flow Matching for Graph GenerationCode2
Learning to Compose Dynamic Tree Structures for Visual ContextsCode2
RelTR: Relation Transformer for Scene Graph GenerationCode2
SGTR+: End-to-end Scene Graph Generation with TransformerCode2
DiGress: Discrete Denoising diffusion for graph generationCode2
EGTR: Extracting Graph from Transformer for Scene Graph GenerationCode2
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph LearningCode2
Graph Condensation: A SurveyCode2
REACT: Real-time Efficiency and Accuracy Compromise for Tradeoffs in Scene Graph GenerationCode2
RelationField: Relate Anything in Radiance FieldsCode2
MolScribe: Robust Molecular Structure Recognition with Image-To-Graph GenerationCode2
STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite ImageryCode2
FastFlows: Flow-Based Models for Molecular Graph GenerationCode2
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph RefinementCode2
LLM-Based Multi-Agent Systems are Scalable Graph Generative ModelsCode2
MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical EnvironmentsCode2
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language ModelsCode2
Generative Diffusion Models on Graphs: Methods and ApplicationsCode2
Geometry-Complete Diffusion for 3D Molecule Generation and OptimizationCode2
Boosting Knowledge Graph Generation from Tabular Data with RML ViewsCode2
Open World Scene Graph Generation using Vision Language ModelsCode2
Unbiased Scene Graph Generation from Biased TrainingCode2
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Benchmark Results

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