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 651–675 of 712 papers

TitleStatusHype
From Route Instructions to Landmark Graphs—0
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction—0
Edge-based sequential graph generation with recurrent neural networksCode0
Graph Generators: State of the Art and Open Challenges—0
Deep imitation learning for molecular inverse problems—0
Effective Decoding in Graph Auto-Encoder using Triadic Closure—0
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction—0
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
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
Scalable Generative Models for Graphs with Graph Attention Mechanism—0
Deep Q-Learning for Directed Acyclic Graph Generation—0
Exploring Context and Visual Pattern of Relationship for Scene Graph Generation—0
GraphNVP: An Invertible Flow Model for Generating Molecular GraphsCode0
Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation—0
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Benchmark Results

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