SOTAVerified

Graph Generation

Graph Generation is an important research area with significant applications in drug and material designs.

Source: Graph Deconvolutional Generation

Papers

Showing 601650 of 712 papers

TitleStatusHype
Topic Scene Graph Generation by Attention Distillation From Caption0
GG-GAN: A Geometric Graph Generative Adversarial Network0
A Simple Baseline for Weakly-Supervised Scene Graph Generation0
Graph Edit NetworksCode0
Learning Latent Topology for Graph Matching0
Deep Graph Generators: A Survey0
MG-SAGC: A multiscale graph and its self-adaptive graph convolution network for 3D point clouds0
Graph Autoencoders with Deconvolutional Networks0
Molecular graph generation with Graph Neural Networks0
A graph similarity for deep learning0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs0
Self-Supervised Real-to-Sim Scene Generation0
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments0
Reinforced Molecular Optimization with Neighborhood-Controlled GrammarsCode0
After All, Only The Last Neuron Matters: Comparing Multi-modal Fusion Functions for Scene Graph GenerationCode0
Dual ResGCN for Balanced Scene GraphGeneration0
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development0
Accurate polyglot semantic parsing with DAG grammars0
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit0
Disentangled Dynamic Graph Deep GenerationCode0
Scene Graph Modification Based on Natural Language CommandsCode0
SHADOWCAST: Controllable Graph Generation with Explainability0
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning0
Secure Network Release with Link Privacy0
Adversarial Stein Training for Graph Energy Models0
Exploring the Hierarchy in Relation Labels for Scene Graph Generation0
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models0
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization0
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation0
Assisting Scene Graph Generation with Self-Supervision0
Structural Plan of Indoor Scenes with Personalized Preferences0
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition0
A Systematic Survey on Deep Generative Models for Graph Generation0
Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases0
Scalable Deep Generative Modeling for Sparse Graphs0
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"0
MALOnt: An Ontology for Malware Threat IntelligenceCode0
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation0
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
SHADOWCAST: Controllable Graph Generation0
TG-GAN: Continuous-time Temporal Graph Generation with Deep Generative ModelsCode0
Visual Relationship Detection using Scene Graphs: A Survey0
Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations0
R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution0
TOMA: Topological Map Abstraction for Reinforcement Learning0
Molecular Inverse-Design Platform for Material Industries0
Learning to Generate Time Series Conditioned Graphs with Generative Adversarial Nets0
Graph Deconvolutional Generation0
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Benchmark Results

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