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 576–600 of 712 papers

TitleStatusHype
Efficient Initial Pose-graph Generation for Global SfMCode1
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments—0
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 GraphGeneration—0
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development—0
Accurate polyglot semantic parsing with DAG grammars—0
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit—0
Neural Language Modeling for Contextualized Temporal Graph GenerationCode1
Disentangled Dynamic Graph Deep GenerationCode0
Dirichlet Graph Variational AutoencoderCode1
Dense Relational Image Captioning via Multi-task Triple-Stream NetworksCode1
Scene Graph Modification Based on Natural Language CommandsCode0
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning—0
Secure Network Release with Link Privacy—0
SHADOWCAST: Controllable Graph Generation with Explainability—0
Are scene graphs good enough to improve Image Captioning?Code1
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain GraphCode1
Adversarial Stein Training for Graph Energy Models—0
CogTree: Cognition Tree Loss for Unbiased Scene Graph GenerationCode1
Exploring the Hierarchy in Relation Labels for Scene Graph Generation—0
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph GenerationCode1
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models—0
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization—0
HOSE-Net: Higher Order Structure Embedded Network for 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