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 476–500 of 712 papers

TitleStatusHype
Scene Graph Generation: A Comprehensive Survey—0
Dynamic Scene Graph Generation via Anticipatory Pre-Training—0
PPDL: Predicate Probability Distribution Based Loss for Unbiased Scene Graph Generation—0
SGTR: End-to-end Scene Graph Generation with TransformerCode1
Exploiting Long-Term Dependencies for Generating Dynamic Scene GraphsCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
Neural Belief Propagation for Scene Graph Generation—0
Reinforcement Learning Enhanced Explainer for Graph Neural Networks—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation—0
Scene Graph Generation with Geometric Context—0
Network Generation with Differential Privacy—0
Extend, don’t rebuild: Phrasing conditional graph modification as autoregressive sequence labellingCode0
Improving Query Graph Generation for Complex Question Answering over Knowledge Base—0
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge GraphsCode1
A Scalable AutoML Approach Based on Graph Neural NetworksCode0
Topic Scene Graph Generation by Attention Distillation from CaptionCode1
Molecular Graph Generation via Geometric Scattering—0
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation—0
Top-N: Equivariant set and graph generation without exchangeabilityCode0
GraphEBM: Towards Permutation Invariant and Multi-Objective Molecular Graph Generation—0
Gradient-Guided Importance Sampling for Learning Discrete Energy-Based ModelsCode0
Spanning Tree-based Graph Generation for Molecules—0
SGTR: Generating Scene Graph by Learning Compositional Triplets with Transformer—0
GraphGT: Machine Learning Datasets for Graph Generation and TransformationCode1
Show:102550
← PrevPage 20 of 29Next →

Benchmark Results

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