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 151–175 of 712 papers

TitleStatusHype
Location-Free Scene Graph GenerationCode1
DIFFVSGG: Diffusion-Driven Online Video Scene Graph GenerationCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and RetentionCode1
Generative Modelling of Structurally Constrained GraphsCode1
OED: Towards One-stage End-to-End Dynamic Scene Graph GenerationCode1
Bridging Knowledge Graphs to Generate Scene GraphsCode1
Diffusion-based Graph Generative MethodsCode1
Autoregressive Diffusion Model for Graph GenerationCode1
Efficient and Degree-Guided Graph Generation via Discrete Diffusion ModelingCode1
Efficient and Scalable Graph Generation through Iterative Local ExpansionCode1
GPT-GNN: Generative Pre-Training of Graph Neural NetworksCode1
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive LearningCode1
Efficient Initial Pose-graph Generation for Global SfMCode1
EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity UnderstandingCode1
Manga109Dialog: A Large-scale Dialogue Dataset for Comics Speaker DetectionCode1
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusionCode1
Energy-Based Learning for Scene Graph GenerationCode1
Graph Diffusion Policy OptimizationCode1
Graph Density-Aware Losses for Novel Compositions in Scene Graph GenerationCode1
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph GenerationCode1
GraphGT: Machine Learning Datasets for Graph Generation and TransformationCode1
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph GenerationCode1
Graph Generation with Diffusion MixtureCode1
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion ModelsCode1
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Benchmark Results

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