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 651–660 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
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Benchmark Results

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