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 201–225 of 712 papers

TitleStatusHype
Towards Scene Graph AnticipationCode1
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion ModelsCode1
GraphRCG: Self-Conditioned Graph Generation—0
Graph Generation via Spectral Diffusion—0
CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks—0
Graph Diffusion Policy OptimizationCode1
S^2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in ORCode0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering—0
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning—0
FairWire: Fair Graph Generation—0
Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes—0
Pard: Permutation-Invariant Autoregressive Diffusion for Graph GenerationCode1
Overcoming Order in Autoregressive Graph Generation—0
A Graph is Worth K Words: Euclideanizing Graph using Pure TransformerCode1
Diffusion-based Graph Generative MethodsCode1
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning—0
Is 3-(F)WL Enough to Distinguish All 3D Graphs?—0
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation—0
SGTR+: End-to-end Scene Graph Generation with TransformerCode2
Interpreting Equivariant Representations—0
Graph Condensation: A SurveyCode2
Adaptive Self-training Framework for Fine-grained Scene Graph GenerationCode1
Dynamic Relation Transformer for Contextual Text Block Detection—0
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision—0
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models—0
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Benchmark Results

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