SOTAVerified

Graph Generation

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

Source: Graph Deconvolutional Generation

Papers

Showing 301350 of 712 papers

TitleStatusHype
Approximate Query Matching for Image Retrieval0
Learning Latent Topology for Graph Matching0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection0
Clustering based opcode graph generation for malware variant detection0
A posteriori multi-stage optimal trading under transaction costs and a diversification constraint0
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development0
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning0
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning0
Characterizing Malicious Edges targeting on Graph Neural Networks0
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation0
Learning of Visual Relations: The Devil is in the Tails0
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms0
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding0
CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks0
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation0
Ensemble Predicate Decoding for Unbiased Scene Graph Generation0
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model0
Learning Deep Generative Models of Graphs0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering0
Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation0
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery0
Adversarial Stein Training for Graph Energy Models0
Importance Weighted Structure Learning for Scene Graph Generation0
Adversarial Stein Training for Graph Energy Models0
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene0
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation0
A Novel Weighted Distance Measure for Multi-Attributed Graph0
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks0
An Interpretable Model for Scene Graph Generation0
Identification of vortex in unstructured mesh with graph neural networks0
ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction0
Hyper-relationship Learning Network for Scene Graph Generation0
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation0
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation0
Efficient Dynamic Attributed Graph Generation0
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens0
Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation0
Improving Molecular Graph Generation with Flow Matching and Optimal Transport0
Improving Query Graph Generation for Complex Question Answering over Knowledge Base0
Improving Scene Graph Generation with Superpixel-Based Interaction Learning0
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement0
Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies0
Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference0
Influence Maximization (IM) in Complex Networks with Limited Visibility Using Statistical Methods0
Informative Scene Graph Generation via Debiasing0
In-game Residential Home Planning via Visual Context-aware Global Relation Learning0
Bures-Wasserstein Flow Matching for Graph Generation0
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows0
Instant Policy: In-Context Imitation Learning via Graph Diffusion0
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation0
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Benchmark Results

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