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 571–580 of 712 papers

TitleStatusHype
Triple Correlations-Guided Label Supplementation for Unbiased Video Scene Graph Generation—0
Two Stream Scene Understanding on Graph Embedding—0
Unbiased Scene Graph Generation by Type-Aware Message Passing on Heterogeneous and Dual Graphs—0
Unbiased Scene Graph Generation using Predicate Similarities—0
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction—0
Unbiased Scene Graph Generation via Two-stage Causal Modeling—0
Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing—0
Unconditional Scene Graph Generation—0
Understanding the Role of Scene Graphs in Visual Question Answering—0
Contextual Translation Embedding for Visual Relationship Detection and 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