SOTAVerified

Graph Generation

Graph Generation is an important research area with significant applications in drug and material designs.

Source: Graph Deconvolutional Generation

Papers

Showing 151175 of 712 papers

TitleStatusHype
roadscene2vec: A Tool for Extracting and Embedding Road Scene-GraphsCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language ModelsCode1
Target Adaptive Context Aggregation for Video Scene Graph GenerationCode1
Scenes and Surroundings: Scene Graph Generation using Relation TransformerCode1
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge IntegrationCode1
Molecule Generation by Principal Subgraph Mining and AssemblingCode1
Structured Sparse R-CNN for Direct Scene Graph GenerationCode1
Tackling the Challenges in Scene Graph Generation with Local-to-Global InteractionsCode1
Order Matters: Probabilistic Modeling of Node Sequence for Graph GenerationCode1
Multiresolution Equivariant Graph Variational AutoencoderCode1
Linguistic Structures as Weak Supervision for Visual Scene Graph GenerationCode1
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense ReasoningCode1
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph GenerationCode1
Fully Convolutional Scene Graph GenerationCode1
Visual Distant Supervision for Scene Graph GenerationCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
Probabilistic Modeling of Semantic Ambiguity for Scene Graph GenerationCode1
Energy-Based Learning for Scene Graph GenerationCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship DetectionCode1
Context-Aware Scene Graph Generation With Seq2Seq TransformersCode1
Efficient Initial Pose-graph Generation for Global SfMCode1
Neural Language Modeling for Contextualized Temporal Graph GenerationCode1
Dirichlet Graph Variational AutoencoderCode1
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Benchmark Results

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