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 51–100 of 712 papers

TitleStatusHype
MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical EnvironmentsCode2
Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing—0
Scale-Free Graph-Language ModelsCode1
Weakly Supervised Video Scene Graph Generation via Natural Language SupervisionCode1
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph GenerationCode0
FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching—0
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge—0
Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance—0
Beyond Pairwise: Global Zero-shot Temporal Graph Generation—0
Leveraging V2X for Collaborative HD Maps Construction Using Scene Graph Generation—0
HOG-Diff: Higher-Order Guided Diffusion for Graph GenerationCode1
Towards Fast Graph Generation via Autoregressive Noisy Filtration ModelingCode0
Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions?—0
Flatten Graphs as Sequences: Transformers are Scalable Graph Generators—0
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms—0
UniQ: Unified Decoder with Task-specific Queries for Efficient Scene Graph Generation—0
DiffGraph: Heterogeneous Graph Diffusion ModelCode2
Graph Generative Pre-trained Transformer—0
Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features—0
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation—0
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene—0
GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning—0
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation—0
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis—0
Training-free Heterogeneous Graph Condensation via Data SelectionCode0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
RelationField: Relate Anything in Radiance FieldsCode2
AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models—0
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype LearningCode1
Large Language Models as Realistic Microservice Trace GeneratorsCode1
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation—0
Multi-Class and Multi-Task Strategies for Neural Directed Link PredictionCode0
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph GenerationCode0
Efficient Dynamic Attributed Graph Generation—0
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation—0
ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language ModelsCode1
HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing—0
Graph Community Augmentation with GMM-based Modeling in Latent Space—0
Leveraging LLM for Automated Ontology Extraction and Knowledge Graph Generation—0
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation—0
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning—0
TreeFormer: Single-view Plant Skeleton Estimation via Tree-constrained Graph GenerationCode0
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation—0
Unbiased Scene Graph Generation by Type-Aware Message Passing on Heterogeneous and Dual Graphs—0
Instant Policy: In-Context Imitation Learning via Graph Diffusion—0
Latency Optimization in LEO Satellite Communications with Hybrid Beam Pattern and Interference Control—0
Improving Molecular Graph Generation with Flow Matching and Optimal Transport—0
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph GenerationCode1
Federated Voxel Scene Graph for Intracranial HemorrhageCode0
Diffusion Twigs with Loop Guidance for Conditional Graph GenerationCode0
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Benchmark Results

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