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 126–150 of 712 papers

TitleStatusHype
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMsCode1
GraphGT: Machine Learning Datasets for Graph Generation and TransformationCode1
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge BaseCode1
Fine-Grained Scene Graph Generation with Data TransferCode1
Fully Convolutional Scene Graph GenerationCode1
Discrete-state Continuous-time Diffusion for Graph GenerationCode1
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative FilteringCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
Fast Graph Generation via Spectral DiffusionCode1
Dirichlet Graph Variational AutoencoderCode1
Directed Graph Grammars for Sequence-based LearningCode1
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense ReasoningCode1
Face Super-Resolution Using Stochastic Differential EquationsCode1
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous DrivingCode1
Fine-Grained Predicates Learning for Scene Graph GenerationCode1
Efficient Initial Pose-graph Generation for Global SfMCode1
From General to Specific: Informative Scene Graph Generation via Balance AdjustmentCode1
GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph GenerationCode1
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and RetentionCode1
Generative Modelling of Structurally Constrained GraphsCode1
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive LearningCode1
Biasing Like Human: A Cognitive Bias Framework for Scene Graph GenerationCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
DIFFVSGG: Diffusion-Driven Online Video Scene Graph GenerationCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
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Benchmark Results

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