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 441–450 of 712 papers

TitleStatusHype
Discrete Graph Auto-Encoder—0
Single-Stage Visual Relationship Learning using Conditional Queries—0
Optimized Crystallographic Graph Generation for Material ScienceCode0
LIC-GAN: Language Information Conditioned Graph Generative GAN Model—0
Explanation Graph Generation via Generative Pre-training over Synthetic GraphsCode0
Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph GenerationCode0
A Diffusion Model for Event Skeleton GenerationCode0
Building Transportation Foundation Model via Generative Graph Transformer—0
Let There Be Order: Rethinking Ordering in Autoregressive Graph GenerationCode0
Brain Imaging-to-Graph Generation using Adversarial Hierarchical Diffusion Models for MCI Causality Analysis—0
Show:102550
← PrevPage 45 of 72Next →

Benchmark Results

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