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 411–420 of 712 papers

TitleStatusHype
An Enhanced Object Detection Model for Scene Graph Generation—0
An Interpretable Model for Scene Graph Generation—0
A Novel Weighted Distance Measure for Multi-Attributed Graph—0
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model—0
A posteriori multi-stage optimal trading under transaction costs and a diversification constraint—0
Approximate Query Matching for Image Retrieval—0
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation—0
A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition—0
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing—0
A Simple Baseline for Weakly-Supervised Scene Graph Generation—0
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Benchmark Results

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