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 601–625 of 712 papers

TitleStatusHype
Iterative Scene Graph Generation with Generative Transformers—0
Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction—0
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds—0
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit—0
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis—0
KS-GNNExplainer: Global Model Interpretation Through Instance Explanations On Histopathology images—0
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation—0
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits—0
Latency Optimization in LEO Satellite Communications with Hybrid Beam Pattern and Interference Control—0
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene—0
Learning Deep Generative Models of Graphs—0
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation—0
Learning Latent Topology for Graph Matching—0
Learning of Visual Relations: The Devil is in the Tails—0
Learning-Order Autoregressive Models with Application to Molecular Graph Generation—0
Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph—0
Learning To Generate Scene Graph from Head to Tail—0
Learning to Generate Time Series Conditioned Graphs with Generative Adversarial Nets—0
Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships—0
Leveraging LLM for Automated Ontology Extraction and Knowledge Graph Generation—0
Leveraging V2X for Collaborative HD Maps Construction Using Scene Graph Generation—0
LIC-GAN: Language Information Conditioned Graph Generative GAN Model—0
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space—0
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Benchmark Results

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