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 101–125 of 712 papers

TitleStatusHype
Situational Scene Graph for Structured Human-centric Situation UnderstandingCode0
Semantic Enrichment of the Quantum Cascade Laser Properties in Text- A Knowledge Graph Generation ApproachCode0
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation—0
SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation—0
Scene Graph Generation with Role-Playing Large Language ModelsCode1
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
LLM-Based Multi-Agent Systems are Scalable Graph Generative ModelsCode2
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
DeFoG: Discrete Flow Matching for Graph GenerationCode2
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic PlanningCode1
Metric-Semantic Factor Graph Generation based on Graph Neural Networks—0
Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation—0
Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation—0
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation—0
Towards Localizing Structural Elements: Merging Geometrical Detection with Semantic Verification in RGB-D Data—0
A Modern Take on Visual Relationship Reasoning for Grasp Planning—0
HYGENE: A Diffusion-based Hypergraph Generation MethodCode1
GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph GenerationCode1
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration—0
Ensemble Predicate Decoding for Unbiased Scene Graph Generation—0
Focused Discriminative Training For Streaming CTC-Trained Automatic Speech Recognition Models—0
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Benchmark Results

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