SOTAVerified

Graph Generation

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

Source: Graph Deconvolutional Generation

Papers

Showing 176200 of 712 papers

TitleStatusHype
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and RetentionCode1
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense ReasoningCode1
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph GenerationCode1
Adaptive Graph Convolutional Recurrent Network for Traffic ForecastingCode1
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive LearningCode1
CogTree: Cognition Tree Loss for Unbiased Scene Graph GenerationCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
A Fair Ranking and New Model for Panoptic Scene Graph GenerationCode1
HL-Net: Heterophily Learning Network for Scene Graph GenerationCode1
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
HOG-Diff: Higher-Order Guided Diffusion for Graph GenerationCode1
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous DrivingCode1
Hyperbolic Graph Diffusion ModelCode1
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative FilteringCode1
Implicit Graphon Neural RepresentationCode1
ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain ModelingCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
Compositional Feature Augmentation for Unbiased Scene Graph GenerationCode1
Face Super-Resolution Using Stochastic Differential EquationsCode1
A Review and Efficient Implementation of Scene Graph Generation MetricsCode1
Knowledge Graph Generation From TextCode1
Permutation Invariant Graph Generation via Score-Based Generative ModelingCode1
LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph GenerationCode1
SGTR: End-to-end Scene Graph Generation with TransformerCode1
Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoningCode1
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Benchmark Results

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