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 481–490 of 712 papers

TitleStatusHype
SGDraw: Scene Graph Drawing Interface Using Object-Oriented RepresentationCode0
NVDiff: Graph Generation through the Diffusion of Node Vectors—0
An Enhanced Object Detection Model for Scene Graph Generation—0
Clustering based opcode graph generation for malware variant detection—0
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation—0
Perspectives on neural proof nets—0
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds—0
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
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Benchmark Results

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