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 541–550 of 712 papers

TitleStatusHype
Segmentation-grounded Scene Graph Generation—0
A Tunable Model for Graph Generation Using LSTM and Conditional VAE—0
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense ReasoningCode1
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph GenerationCode1
Fully Convolutional Scene Graph GenerationCode1
Visual Distant Supervision for Scene Graph GenerationCode1
The unknown knowns: a graph-based approach for temporal COVID-19 literature miningCode0
DIG: A Turnkey Library for Diving into Graph Deep Learning Research—0
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
Probabilistic Modeling of Semantic Ambiguity for Scene Graph GenerationCode1
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Benchmark Results

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