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 101–125 of 712 papers

TitleStatusHype
SGFormer: Semantic Graph Transformer for Point Cloud-based 3D 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
Graph Generation with Diffusion MixtureCode1
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusionCode1
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
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Benchmark Results

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