SOTAVerified

Graph Generation

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

Source: Graph Deconvolutional Generation

Papers

Showing 126150 of 712 papers

TitleStatusHype
HOG-Diff: Higher-Order Guided Diffusion for Graph GenerationCode1
Knowledge-Embedded Routing Network for Scene Graph GenerationCode1
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and RetentionCode1
Knowledge Graph Generation From TextCode1
Large Language Models for Constrained-Based Causal DiscoveryCode1
Dirichlet Graph Variational AutoencoderCode1
Directed Graph Grammars for Sequence-based LearningCode1
Implicit Graphon Neural RepresentationCode1
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense ReasoningCode1
GPT-GNN: Generative Pre-Training of Graph Neural NetworksCode1
Efficient and Scalable Graph Generation through Iterative Local ExpansionCode1
Discrete-state Continuous-time Diffusion for Graph GenerationCode1
Junction Tree Variational Autoencoder for Molecular Graph GenerationCode1
Efficient Graph Generation with Graph Recurrent Attention NetworksCode1
Efficient Initial Pose-graph Generation for Global SfMCode1
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph GenerationCode1
Energy-Based Learning for Scene Graph GenerationCode1
DIFFVSGG: Diffusion-Driven Online Video Scene Graph GenerationCode1
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive LearningCode1
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph AnalysisCode1
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative FilteringCode1
Biasing Like Human: A Cognitive Bias Framework for Scene Graph GenerationCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
3M-Diffusion: Latent Multi-Modal Diffusion for Language-Guided Molecular Structure GenerationCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
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Benchmark Results

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