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 151–175 of 712 papers

TitleStatusHype
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph GenerationCode1
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and RetentionCode1
Molecule Generation by Principal Subgraph Mining and AssemblingCode1
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship DetectionCode1
Hierarchical Generation of Molecular Graphs using Structural MotifsCode1
Bridging Knowledge Graphs to Generate Scene GraphsCode1
HiGen: Hierarchical Graph Generative NetworksCode1
Diffusion-based Graph Generative MethodsCode1
Efficient and Degree-Guided Graph Generation via Discrete Diffusion ModelingCode1
Efficient and Scalable Graph Generation through Iterative Local ExpansionCode1
Implicit Graphon Neural RepresentationCode1
Efficient Graph Generation with Graph Recurrent Attention NetworksCode1
Efficient Initial Pose-graph Generation for Global SfMCode1
EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity UnderstandingCode1
Autoregressive Diffusion Model for Graph GenerationCode1
LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph GenerationCode1
Energy-Based Learning for Scene Graph GenerationCode1
Large Language Models for Constrained-Based Causal DiscoveryCode1
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph GenerationCode1
Face Super-Resolution Using Stochastic Differential EquationsCode1
SPAN: Learning Similarity between Scene Graphs and Images with TransformersCode1
Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic SpaceCode1
Learning to Generate Scene Graph from Natural Language SupervisionCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
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Benchmark Results

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