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 101–110 of 712 papers

TitleStatusHype
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusionCode1
Context-Aware Scene Graph Generation With Seq2Seq TransformersCode1
Adaptive Self-training Framework for Fine-grained Scene Graph GenerationCode1
Molecule Generation by Principal Subgraph Mining and AssemblingCode1
A Simple and Scalable Representation for Graph GenerationCode1
Graph R-CNN for Scene Graph GenerationCode1
A Graph is Worth K Words: Euclideanizing Graph using Pure TransformerCode1
Graph Generation with K^2-treesCode1
HL-Net: Heterophily Learning Network for Scene Graph GenerationCode1
Dirichlet Graph Variational AutoencoderCode1
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Benchmark Results

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