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
Generative Modelling of Structurally Constrained GraphsCode1
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph GenerationCode1
GPS-Net: Graph Property Sensing Network for Scene Graph GenerationCode1
Hyperbolic Geometric Latent Diffusion Model for Graph GenerationCode1
Fine-Grained Scene Graph Generation with Data TransferCode1
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph GenerationCode1
Bridging Knowledge Graphs to Generate Scene GraphsCode1
Junction Tree Variational Autoencoder for Molecular Graph GenerationCode1
DIFFVSGG: Diffusion-Driven Online Video Scene Graph GenerationCode1
Efficient and Degree-Guided Graph Generation via Discrete Diffusion ModelingCode1
Efficient and Scalable Graph Generation through Iterative Local ExpansionCode1
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph GenerationCode1
Accurate Learning of Graph Representations with Graph Multiset PoolingCode1
Efficient Initial Pose-graph Generation for Global SfMCode1
EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity UnderstandingCode1
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous DrivingCode1
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge BaseCode1
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
Diffusion-based Graph Generative MethodsCode1
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 Language Modeling for Contextualized Temporal 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
Autoregressive Diffusion Model for Graph GenerationCode1
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
Order Matters: Probabilistic Modeling of Node Sequence for Graph GenerationCode1
Are scene graphs good enough to improve Image Captioning?Code1
Panoptic Scene Graph Generation with Semantics-Prototype LearningCode1
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative FilteringCode1
Pard: Permutation-Invariant Autoregressive Diffusion for Graph GenerationCode1
GPT-GNN: Generative Pre-Training of Graph Neural NetworksCode1
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
Graph Neural Networks can Recover the Hidden Features Solely from the Graph StructureCode1
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph GenerationCode1
Large Language Models for Constrained-Based Causal DiscoveryCode1
Prototype-based Embedding Network for Scene 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