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 651–675 of 712 papers

TitleStatusHype
Input Conditioned Graph Generation for Language AgentsCode0
Replica Tree-based Federated Learning using Limited DataCode0
Explanation Graph Generation via Generative Pre-training over Synthetic GraphsCode0
Training-free Heterogeneous Graph Condensation via Data SelectionCode0
Improving Graph Generation by Restricting Graph BandwidthCode0
Supplementing Missing Visions via Dialog for Scene Graph GenerationsCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Image-Conditioned Graph Generation for Road Network ExtractionCode0
Head-Tail Cooperative Learning Network for Unbiased Scene Graph GenerationCode0
HBS -- Hardware Build System: A Tcl-based, minimal common abstraction approach for build system for hardware designsCode0
Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate ClassesCode0
TreeFormer: Single-view Plant Skeleton Estimation via Tree-constrained Graph GenerationCode0
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph GenerationCode0
Growing Story Forest Online from Massive Breaking NewsCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
S^2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in ORCode0
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph GenerationCode0
Using Motif Transitions for Temporal Graph GenerationCode0
After All, Only The Last Neuron Matters: Comparing Multi-modal Fusion Functions for Scene Graph GenerationCode0
TSPP: A Unified Benchmarking Tool for Time-series ForecastingCode0
Encoding Robust Representation for Graph GenerationCode0
GraphTune: A Learning-based Graph Generative Model with Tunable Structural FeaturesCode0
Voxel Scene Graph for Intracranial HemorrhageCode0
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive ModelsCode0
Taking A Closer Look at Visual Relation: Unbiased Video Scene Graph Generation with Decoupled Label LearningCode0
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Benchmark Results

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