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 461–470 of 712 papers

TitleStatusHype
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos—0
DBGDGM: Dynamic Brain Graph Deep Generative Model—0
DDS: Decoupled Dynamic Scene-Graph Generation Network—0
Decomposed Prototype Learning for Few-Shot Scene Graph Generation—0
Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation—0
Deep Graph Generators: A Survey—0
Deep imitation learning for molecular inverse problems—0
Deep Q-Learning for Directed Acyclic Graph Generation—0
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation—0
Devil's on the Edges: Selective Quad Attention 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