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 651–700 of 712 papers

TitleStatusHype
Image-Conditioned Graph Generation for Road Network ExtractionCode0
Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships—0
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure—0
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs—0
Efficient Graph Generation with Graph Recurrent Attention NetworksCode1
Graph Generation with Variational Recurrent Neural Network—0
Graph Residual Flow for Molecular Graph Generation—0
GraphNVP: an Invertible Flow-based Model for Generating Molecular Graphs—0
Distributed Training of Embeddings using Graph Analytics—0
TGG: Transferable Graph Generation for Zero-shot and Few-shot LearningCode0
Continuous Graph Flow—0
Understanding the Representation Power of Graph Neural Networks in Learning Graph TopologyCode0
The Limited Multi-Label Projection LayerCode0
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction—0
Deep Q-Learning for Directed Acyclic Graph Generation—0
Scalable Generative Models for Graphs with Graph Attention Mechanism—0
Exploring Context and Visual Pattern of Relationship for Scene Graph Generation—0
Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation—0
GraphNVP: An Invertible Flow Model for Generating Molecular GraphsCode0
Target-Tailored Source-Transformation for Scene Graph Generation—0
Scene Graph Generation with External Knowledge and Image Reconstruction—0
An End-to-End Network for Generating Social Relationship Graphs—0
Visual Semantic Information Pursuit: A Survey—0
Knowledge-Embedded Routing Network for Scene Graph GenerationCode1
Generative Graph Convolutional Network for Growing Graphs—0
Counterfactual Critic Multi-Agent Training for Scene Graph Generation—0
Learning to Compose Dynamic Tree Structures for Visual ContextsCode2
Attentive Relational Networks for Mapping Images to Scene Graphs—0
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation—0
An Interpretable Model for Scene Graph Generation—0
Scene Graph Generation via Conditional Random Fields—0
LinkNet: Relational Embedding for Scene GraphCode0
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks—0
Encoding Robust Representation for Graph GenerationCode0
Graph Generation via Scattering—0
Characterizing Malicious Edges targeting on Graph Neural Networks—0
Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic ParsingCode0
Aesthetic Discrimination of Graph LayoutsCode0
Graph R-CNN for Scene Graph GenerationCode1
Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoningCode1
Natural Language Processing for Music Knowledge DiscoveryCode0
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph GenerationCode0
Graph Convolutional Policy Network for Goal-Directed Molecular Graph GenerationCode0
A posteriori multi-stage optimal trading under transaction costs and a diversification constraint—0
Approximate Query Matching for Image Retrieval—0
Learning Deep Generative Models of Graphs—0
NetGAN: Generating Graphs via Random WalksCode0
Growing Story Forest Online from Massive Breaking NewsCode0
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive ModelsCode0
Junction Tree Variational Autoencoder for Molecular Graph GenerationCode1
Show:102550
← PrevPage 14 of 15Next →

Benchmark Results

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