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 391–400 of 712 papers

TitleStatusHype
Perspectives on neural proof nets—0
Implicit Graphon Neural RepresentationCode1
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds—0
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph GenerationCode1
Micro and Macro Level Graph Modeling for Graph Variational Auto-EncodersCode1
Generative modeling of the enteric nervous system employing point pattern analysis and graph construction—0
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation—0
G2A2: An Automated Graph Generator with Attributes and Anomalies—0
Explore Contextual Information for 3D Scene Graph Generation—0
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series ForecastingCode1
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Benchmark Results

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