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 381–390 of 712 papers

TitleStatusHype
SGDraw: Scene Graph Drawing Interface Using Object-Oriented RepresentationCode0
Iterative Scene Graph Generation with Generative Transformers—0
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity ParsingCode1
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal TransformerCode1
NVDiff: Graph Generation through the Diffusion of Node Vectors—0
An Enhanced Object Detection Model for Scene Graph Generation—0
Knowledge Graph Generation From TextCode1
Clustering based opcode graph generation for malware variant detection—0
Fast Graph Generation via Spectral DiffusionCode1
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation—0
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Benchmark Results

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