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 501–510 of 712 papers

TitleStatusHype
Relation Regularized Scene Graph Generation—0
Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs—0
RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation—0
Rethinking the Evaluation of Unbiased Scene Graph Generation—0
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation—0
Robo-SGG: Exploiting Layout-Oriented Normalization and Restitution for Robust Scene Graph Generation—0
Robust Attack Graph Generation—0
SAMJAM: Zero-Shot Video Scene Graph Generation for Egocentric Kitchen Videos—0
SANGEA: Scalable and Attributed Network Generation—0
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction—0
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Benchmark Results

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