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 276–300 of 712 papers

TitleStatusHype
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
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Benchmark Results

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