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 111–120 of 712 papers

TitleStatusHype
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation—0
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted NarrativesCode0
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic PlanningCode1
DeFoG: Discrete Flow Matching for Graph GenerationCode2
Metric-Semantic Factor Graph Generation based on Graph Neural Networks—0
Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation—0
Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation—0
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation—0
Towards Localizing Structural Elements: Merging Geometrical Detection with Semantic Verification in RGB-D Data—0
A Modern Take on Visual Relationship Reasoning for Grasp Planning—0
Show:102550
← PrevPage 12 of 72Next →

Benchmark Results

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