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 181–190 of 712 papers

TitleStatusHype
CogTree: Cognition Tree Loss for Unbiased Scene Graph GenerationCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
A Fair Ranking and New Model for Panoptic Scene Graph GenerationCode1
HiGen: Hierarchical Graph Generative NetworksCode1
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
Hierarchical Generation of Molecular Graphs using Structural MotifsCode1
Are scene graphs good enough to improve Image Captioning?Code1
HL-Net: Heterophily Learning Network for Scene Graph GenerationCode1
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative FilteringCode1
Hierarchical Relationships: A New Perspective to Enhance Scene Graph GenerationCode1
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Benchmark Results

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