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 251–300 of 712 papers

TitleStatusHype
Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing—0
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
Flatten Graphs as Sequences: Transformers are Scalable Graph Generators—0
Towards Fast Graph Generation via Autoregressive Noisy Filtration ModelingCode0
Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions?—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
Graph Generative Pre-trained Transformer—0
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation—0
Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features—0
GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning—0
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene—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
AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models—0
SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation—0
Multi-Class and Multi-Task Strategies for Neural Directed Link PredictionCode0
Efficient Dynamic Attributed Graph Generation—0
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph GenerationCode0
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation—0
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
Unbiased Scene Graph Generation by Type-Aware Message Passing on Heterogeneous and Dual Graphs—0
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation—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
Federated Voxel Scene Graph for Intracranial HemorrhageCode0
Diffusion Twigs with Loop Guidance for Conditional Graph GenerationCode0
Semantic Enrichment of the Quantum Cascade Laser Properties in Text- A Knowledge Graph Generation ApproachCode0
Situational Scene Graph for Structured Human-centric Situation UnderstandingCode0
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation—0
SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation—0
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation—0
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs—0
Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling—0
GUISE: Graph GaUssIan Shading watErmark—0
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation—0
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted NarrativesCode0
Show:102550
← PrevPage 6 of 15Next →

Benchmark Results

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