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 641–650 of 712 papers

TitleStatusHype
Molecular Graph Generation by Decomposition and Reassembling—0
Molecular Graph Generation via Geometric Scattering—0
Molecular graph generation with Graph Neural Networks—0
Molecular Inverse-Design Platform for Material Industries—0
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation—0
Multi-modal Knowledge Graph Generation with Semantics-enriched Prompts—0
Multimodal Subtask Graph Generation from Instructional Videos—0
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction—0
Building Transportation Foundation Model via Generative Graph Transformer—0
Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features—0
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Benchmark Results

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