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 371–380 of 712 papers

TitleStatusHype
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
UniQ: Unified Decoder with Task-specific Queries for Efficient Scene Graph Generation—0
Universal Scene Graph Generation—0
Unsupervised Task Graph Generation from Instructional Video Transcripts—0
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Benchmark Results

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