SOTAVerified

Graph Generation

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

Source: Graph Deconvolutional Generation

Papers

Showing 101125 of 712 papers

TitleStatusHype
Large Language Models as Realistic Microservice Trace GeneratorsCode1
Context-Aware Scene Graph Generation With Seq2Seq TransformersCode1
GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph GenerationCode1
Fine-Grained Scene Graph Generation with Data TransferCode1
A Simple and Scalable Representation for Graph GenerationCode1
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge BaseCode1
A Graph is Worth K Words: Euclideanizing Graph using Pure TransformerCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
HL-Net: Heterophily Learning Network for Scene Graph GenerationCode1
DIFFVSGG: Diffusion-Driven Online Video Scene Graph GenerationCode1
Molecule Generation by Principal Subgraph Mining and AssemblingCode1
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle TrainingCode1
GPS-Net: Graph Property Sensing Network for Scene Graph GenerationCode1
Data Imputation with Iterative Graph ReconstructionCode1
Learning Visual Commonsense for Robust Scene Graph GenerationCode1
GPT-GNN: Generative Pre-Training of Graph Neural NetworksCode1
Graph Pooling for Graph Neural Networks: Progress, Challenges, and OpportunitiesCode1
GraphAF: a Flow-based Autoregressive Model for Molecular Graph GenerationCode1
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph GenerationCode1
Graph Diffusion Policy OptimizationCode1
AutoKG: Efficient Automated Knowledge Graph Generation for Language ModelsCode1
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph GenerationCode1
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?Code1
Graph Neural Networks can Recover the Hidden Features Solely from the Graph StructureCode1
Graph R-CNN for Scene Graph GenerationCode1
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Benchmark Results

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