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 226–250 of 712 papers

TitleStatusHype
Attentive Relational Networks for Mapping Images to Scene Graphs—0
Accelerating Medical Knowledge Discovery through Automated Knowledge Graph Generation and Enrichment—0
GEMS: Scene Expansion using Generative Models of Graphs—0
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos—0
A Systematic Survey on Deep Generative Models for Graph Generation—0
Generalized Unbiased Scene Graph Generation—0
Generalized Visual Relation Detection with Diffusion Models—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Generative AI for Visualization: State of the Art and Future Directions—0
A graph similarity for deep learning—0
Generative Explanations for Graph Neural Network: Methods and Evaluations—0
Generative Graph Convolutional Network for Growing Graphs—0
G2A2: An Automated Graph Generator with Attributes and Anomalies—0
FunGraph: Functionality Aware 3D Scene Graphs for Language-Prompted Scene Interaction—0
Generative modeling of the enteric nervous system employing point pattern analysis and graph construction—0
From Route Instructions to Landmark Graphs—0
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization—0
A Survey on Deep Graph Generation: Methods and Applications—0
GG-GAN: A Geometric Graph Generative Adversarial Network—0
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation—0
Building Transportation Foundation Model via Generative Graph Transformer—0
GraphMapper: Efficient Visual Navigation by Scene Graph Generation—0
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization—0
From Graph Generation to Graph Classification—0
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs—0
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Benchmark Results

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