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 176–200 of 712 papers

TitleStatusHype
Dense Relational Image Captioning via Multi-task Triple-Stream NetworksCode1
Are scene graphs good enough to improve Image Captioning?Code1
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain GraphCode1
CogTree: Cognition Tree Loss for Unbiased Scene Graph GenerationCode1
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph GenerationCode1
Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph GenerationCode1
Generative Compositional Augmentations for Scene Graph PredictionCode1
Learning and Reasoning with the Graph Structure Representation in Robotic SurgeryCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
GPT-GNN: Generative Pre-Training of Graph Neural NetworksCode1
MoFlow: An Invertible Flow Model for Generating Molecular GraphsCode1
Learning Visual Commonsense for Robust Scene Graph GenerationCode1
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle TrainingCode1
XGNN: Towards Model-Level Explanations of Graph Neural NetworksCode1
Graph Density-Aware Losses for Novel Compositions in Scene Graph GenerationCode1
Secure Deep Graph Generation with Link Differential PrivacyCode1
Relation Transformer NetworkCode1
The general theory of permutation equivarant neural networks and higher order graph variational encodersCode1
GPS-Net: Graph Property Sensing Network for Scene Graph GenerationCode1
Permutation Invariant Graph Generation via Score-Based Generative ModelingCode1
Hierarchical Generation of Molecular Graphs using Structural MotifsCode1
GraphAF: a Flow-based Autoregressive Model for Molecular Graph GenerationCode1
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph GenerationCode1
NODIS: Neural Ordinary Differential Scene UnderstandingCode1
Weakly Supervised Visual Semantic ParsingCode1
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Benchmark Results

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