SOTAVerified

Graph Generation

Graph Generation is an important research area with significant applications in drug and material designs.

Source: Graph Deconvolutional Generation

Papers

Showing 451500 of 712 papers

TitleStatusHype
Gransformer: Transformer-based Graph Generation0
Fine-Grained Scene Graph Generation with Data TransferCode1
Relationformer: A Unified Framework for Image-to-Graph GenerationCode1
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph GenerationCode1
Biasing Like Human: A Cognitive Bias Framework for Scene Graph GenerationCode1
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation0
A Survey on Deep Graph Generation: Methods and Applications0
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph GeneratorsCode0
Dual Embodied-Symbolic Concept Representations for Deep Learning0
Disentangled Spatiotemporal Graph Generative Models0
Interpretable Molecular Graph Generation via Monotonic Constraints0
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions0
One-shot Scene Graph GenerationCode1
Relation Regularized Scene Graph Generation0
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence RoboticsCode0
Fairness Amidst Non-IID Graph Data: A Literature Review0
Hyper-relationship Learning Network for Scene Graph Generation0
Target-aware Molecular Graph Generation0
Score-based Generative Modeling of Graphs via the System of Stochastic Differential EquationsCode1
FastFlows: Flow-Based Models for Molecular Graph GenerationCode2
GraphTune: A Learning-based Graph Generative Model with Tunable Structural FeaturesCode0
Constrained Structure Learning for Scene Graph Generation0
RelTR: Relation Transformer for Scene Graph GenerationCode2
Balanced Graph Structure Learning for Multivariate Time Series ForecastingCode0
Resistance Training using Prior Bias: toward Unbiased Scene Graph GenerationCode1
Scene Graph Generation: A Comprehensive Survey0
Dynamic Scene Graph Generation via Anticipatory Pre-Training0
PPDL: Predicate Probability Distribution Based Loss for Unbiased Scene Graph Generation0
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 Generation0
Reinforcement Learning Enhanced Explainer for Graph Neural Networks0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation0
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation0
Scene Graph Generation with Geometric Context0
Network Generation with Differential Privacy0
Extend, don’t rebuild: Phrasing conditional graph modification as autoregressive sequence labellingCode0
Improving Query Graph Generation for Complex Question Answering over Knowledge Base0
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 Scattering0
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation0
Top-N: Equivariant set and graph generation without exchangeabilityCode0
GraphEBM: Towards Permutation Invariant and Multi-Objective Molecular Graph Generation0
Gradient-Guided Importance Sampling for Learning Discrete Energy-Based ModelsCode0
Spanning Tree-based Graph Generation for Molecules0
SGTR: Generating Scene Graph by Learning Compositional Triplets with Transformer0
GraphGT: Machine Learning Datasets for Graph Generation and TransformationCode1
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Benchmark Results

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