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 101–150 of 712 papers

TitleStatusHype
Location-Free Scene Graph GenerationCode1
Prototype-based Embedding Network for Scene Graph GenerationCode1
Hierarchical Relationships: A New Perspective to Enhance Scene Graph GenerationCode1
RAF: Holistic Compilation for Deep Learning Model TrainingCode1
LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph GenerationCode1
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusionCode1
Graph Generation with Diffusion MixtureCode1
Graph Neural Networks can Recover the Hidden Features Solely from the Graph StructureCode1
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph GenerationCode1
Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic SpaceCode1
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category DiscoveryCode1
Data Imputation with Iterative Graph ReconstructionCode1
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph GenerationCode1
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural NetworkCode1
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity ParsingCode1
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal TransformerCode1
Knowledge Graph Generation From TextCode1
Fast Graph Generation via Spectral DiffusionCode1
Implicit Graphon Neural RepresentationCode1
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph GenerationCode1
Micro and Macro Level Graph Modeling for Graph Variational Auto-EncodersCode1
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series ForecastingCode1
Face Super-Resolution Using Stochastic Differential EquationsCode1
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph GenerationCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
Unified 2D and 3D Pre-Training of Molecular RepresentationsCode1
Graph Generative Model for Benchmarking Graph Neural NetworksCode1
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph GenerationCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
Temporal Domain Generalization with Drift-Aware Dynamic Neural NetworksCode1
HL-Net: Heterophily Learning Network for Scene Graph GenerationCode1
RU-Net: Regularized Unrolling Network for Scene Graph GenerationCode1
Graph Pooling for Graph Neural Networks: Progress, Challenges, and OpportunitiesCode1
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive LearningCode1
Fine-Grained Predicates Learning for Scene Graph GenerationCode1
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph GeneratorsCode1
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
One-shot Scene Graph GenerationCode1
Score-based Generative Modeling of Graphs via the System of Stochastic Differential EquationsCode1
Resistance Training using Prior Bias: toward Unbiased Scene Graph GenerationCode1
SGTR: End-to-end Scene Graph Generation with TransformerCode1
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge GraphsCode1
Topic Scene Graph Generation by Attention Distillation from CaptionCode1
GraphGT: Machine Learning Datasets for Graph Generation and TransformationCode1
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge BaseCode1
GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene GraphCode1
Learning to Generate Scene Graph from Natural Language SupervisionCode1
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Benchmark Results

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