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 601–650 of 712 papers

TitleStatusHype
Assisting Scene Graph Generation with Self-Supervision—0
Structural Plan of Indoor Scenes with Personalized Preferences—0
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition—0
Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph GenerationCode1
A Systematic Survey on Deep Generative Models for Graph Generation—0
Generative Compositional Augmentations for Scene Graph PredictionCode1
Learning and Reasoning with the Graph Structure Representation in Robotic SurgeryCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases—0
Scalable Deep Generative Modeling for Sparse Graphs—0
GPT-GNN: Generative Pre-Training of Graph Neural NetworksCode1
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"—0
MALOnt: An Ontology for Malware Threat IntelligenceCode0
MoFlow: An Invertible Flow Model for Generating Molecular GraphsCode1
Learning Visual Commonsense for Robust Scene Graph GenerationCode1
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation—0
Heuristic Semi-Supervised Learning for Graph Generation Inspired by Electoral CollegeCode0
Interpretable Deep Graph Generation with Node-Edge Co-DisentanglementCode0
Graph-Aware Transformer: Is Attention All Graphs Need?—0
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle TrainingCode1
SHADOWCAST: Controllable Graph Generation—0
XGNN: Towards Model-Level Explanations of Graph Neural NetworksCode1
Graph Density-Aware Losses for Novel Compositions in Scene Graph GenerationCode1
TG-GAN: Continuous-time Temporal Graph Generation with Deep Generative ModelsCode0
Visual Relationship Detection using Scene Graphs: A Survey—0
R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution—0
Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations—0
TOMA: Topological Map Abstraction for Reinforcement Learning—0
Secure Deep Graph Generation with Link Differential PrivacyCode1
Molecular Inverse-Design Platform for Material Industries—0
Relation Transformer NetworkCode1
The general theory of permutation equivarant neural networks and higher order graph variational encodersCode1
GPS-Net: Graph Property Sensing Network for Scene Graph GenerationCode1
Learning to Generate Time Series Conditioned Graphs with Generative Adversarial Nets—0
Permutation Invariant Graph Generation via Score-Based Generative ModelingCode1
Unbiased Scene Graph Generation from Biased TrainingCode2
Graph Deconvolutional Generation—0
Hierarchical Generation of Molecular Graphs using Structural MotifsCode1
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
GraphAF: a Flow-based Autoregressive Model for Molecular Graph GenerationCode1
Graph Generators: State of the Art and Open Challenges—0
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph GenerationCode1
NODIS: Neural Ordinary Differential Scene UnderstandingCode1
Weakly Supervised Visual Semantic ParsingCode1
Bridging Knowledge Graphs to Generate Scene GraphsCode1
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
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Benchmark Results

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