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 151–200 of 712 papers

TitleStatusHype
DIFFVSGG: Diffusion-Driven Online Video Scene Graph GenerationCode1
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph GenerationCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
HL-Net: Heterophily Learning Network for Scene Graph GenerationCode1
Hyperbolic Geometric Latent Diffusion Model for Graph GenerationCode1
Hyperbolic Graph Diffusion ModelCode1
Bridging Knowledge Graphs to Generate Scene GraphsCode1
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph GenerationCode1
Diffusion-based Graph Generative MethodsCode1
Autoregressive Diffusion Model for Graph GenerationCode1
Efficient and Scalable Graph Generation through Iterative Local ExpansionCode1
Large Language Models for Constrained-Based Causal DiscoveryCode1
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
Fine-Grained Predicates Learning for Scene Graph GenerationCode1
Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic SpaceCode1
Energy-Based Learning for Scene Graph GenerationCode1
Learning Visual Commonsense for Robust Scene Graph GenerationCode1
Less is More: Toward Zero-Shot Local Scene Graph Generation via Foundation ModelsCode1
Location-Free Scene Graph GenerationCode1
Manga109Dialog: A Large-scale Dialogue Dataset for Comics Speaker DetectionCode1
Generative Modelling of Structurally Constrained GraphsCode1
MoFlow: An Invertible Flow Model for Generating Molecular GraphsCode1
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning TreesCode1
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
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion ModelsCode1
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
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusionCode1
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal ModelsCode1
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain ModelingCode1
Are scene graphs good enough to improve Image Captioning?Code1
Pair then Relation: Pair-Net for Panoptic Scene Graph GenerationCode1
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative FilteringCode1
Panoptic Video Scene Graph GenerationCode1
LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph GenerationCode1
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
RAF: Holistic Compilation for Deep Learning Model TrainingCode1
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph GenerationCode1
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category DiscoveryCode1
Relationformer: A Unified Framework for Image-to-Graph GenerationCode1
Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoningCode1
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Benchmark Results

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