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 351–375 of 712 papers

TitleStatusHype
LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph GenerationCode1
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows—0
Multimodal Subtask Graph Generation from Instructional Videos—0
Unsupervised Task Graph Generation from Instructional Video Transcripts—0
From Graph Generation to Graph Classification—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Geometry-Complete Diffusion for 3D Molecule Generation and OptimizationCode2
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusionCode1
Graph Generation with Diffusion MixtureCode1
Generative Diffusion Models on Graphs: Methods and ApplicationsCode2
Self-Supervised Relation Alignment for Scene Graph Generation—0
DBGDGM: Dynamic Brain Graph Deep Generative Model—0
Graph Neural Networks can Recover the Hidden Features Solely from the Graph StructureCode1
Improving Graph Generation by Restricting Graph BandwidthCode0
DDS: Decoupled Dynamic Scene-Graph Generation Network—0
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation—0
Visual Traffic Knowledge Graph Generation from Scene Images—0
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation—0
IS-GGT: Iterative Scene Graph Generation With Generative Transformers—0
Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic SpaceCode1
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph GenerationCode1
Skew Class-balanced Re-weighting for Unbiased Scene Graph GenerationCode0
Peer Learning for Unbiased Scene Graph Generation—0
EDoG: Adversarial Edge Detection For Graph Neural Networks—0
SrTR: Self-reasoning Transformer with Visual-linguistic Knowledge for Scene Graph Generation—0
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Benchmark Results

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