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 351–375 of 712 papers

TitleStatusHype
Set-Aligning Framework for Auto-Regressive Event Temporal Graph GenerationCode0
SteinGen: Generating Fidelitous and Diverse Graph SamplesCode0
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization—0
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement—0
DSGG: Dense Relation Transformer for an End-to-end Scene Graph GenerationCode0
Exploring the Potential of Large Language Models in Graph Generation—0
Graphs Unveiled: Graph Neural Networks and Graph Generation—0
Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation—0
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition—0
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
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
Overcoming Order in Autoregressive Graph Generation—0
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
Interpreting Equivariant Representations—0
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