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 621–630 of 712 papers

TitleStatusHype
Scene Graph Modification Based on Natural Language CommandsCode0
SHADOWCAST: Controllable Graph Generation with Explainability—0
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning—0
Secure Network Release with Link Privacy—0
Adversarial Stein Training for Graph Energy Models—0
Exploring the Hierarchy in Relation Labels for Scene Graph Generation—0
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models—0
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization—0
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation—0
Assisting Scene Graph Generation with Self-Supervision—0
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Benchmark Results

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