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 561–570 of 712 papers

TitleStatusHype
Topic Scene Graph Generation by Attention Distillation From Caption—0
Context-Aware Scene Graph Generation With Seq2Seq TransformersCode1
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship DetectionCode1
Learning Latent Topology for Graph Matching—0
Graph Edit NetworksCode0
Counterfactual Thinking for Long-tailed Information Extraction—0
GG-GAN: A Geometric Graph Generative Adversarial Network—0
An Automated Domain Understanding Technique for Knowledge Graph Generation—0
Deep Graph Generators: A Survey—0
MG-SAGC: A multiscale graph and its self-adaptive graph convolution network for 3D point clouds—0
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Benchmark Results

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