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 101–150 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
Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation—0
Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation—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
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion ModelCode0
Towards Flexible Visual Relationship Segmentation—0
Using Retriever Augmented Large Language Models for Attack Graph Generation—0
Random Walk Diffusion for Efficient Large-Scale Graph Generation—0
MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Analysis—0
MaterioMiner -- An ontology-based text mining dataset for extraction of process-structure-property entities—0
Voxel Scene Graph for Intracranial HemorrhageCode0
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction—0
Fine-Grained Scene Graph Generation via Sample-Level Bias PredictionCode0
BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation—0
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph GenerationCode1
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits—0
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal ModelsCode1
A Fair Ranking and New Model for Panoptic Scene Graph GenerationCode1
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning TreesCode1
From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation—0
3D Vessel Graph Generation Using Denoising DiffusionCode1
LTLBench: Towards Benchmarks for Evaluating Temporal Logic Reasoning in Large Language ModelsCode0
The Complexity of Symmetry Breaking Beyond Lex-Leader—0
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding—0
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation—0
Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation—0
Cascading Large Language Models for Salient Event Graph GenerationCode0
Generative Modelling of Structurally Constrained GraphsCode1
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph GenerationCode0
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Benchmark Results

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