SOTAVerified

Graph Generation

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

Source: Graph Deconvolutional Generation

Papers

Showing 301–350 of 712 papers

TitleStatusHype
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical StudyCode0
LinkNet: Relational Embedding for Scene GraphCode0
LTLBench: Towards Benchmarks for Evaluating Temporal Logic Reasoning in Large Language ModelsCode0
Let There Be Order: Rethinking Ordering in Autoregressive Graph GenerationCode0
MALOnt: An Ontology for Malware Threat IntelligenceCode0
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph GenerationCode0
Disentangled Dynamic Graph Deep GenerationCode0
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed GraphsCode0
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence RoboticsCode0
Balanced Graph Structure Learning for Multivariate Time Series ForecastingCode0
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph GenerationCode0
A Diffusion Model for Event Skeleton GenerationCode0
Benchmark for Research Theme Classification of Scholarly DocumentsCode0
Graph Edit NetworksCode0
GraphEBM: Molecular Graph Generation with Energy-Based ModelsCode0
A Deep Probabilistic Framework for Continuous Time Dynamic Graph GenerationCode0
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph GenerationCode0
Interpretable Deep Graph Generation with Node-Edge Co-DisentanglementCode0
Graph Convolutional Policy Network for Goal-Directed Molecular Graph GenerationCode0
Diffusion Twigs with Loop Guidance for Conditional Graph GenerationCode0
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion ModelCode0
Graph Autoencoders with Deconvolutional Networks—0
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation—0
Gransformer: Transformer-based Graph Generation—0
Scalable Generative Models for Graphs with Graph Attention Mechanism—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production—0
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation—0
GG-GAN: A Geometric Graph Generative Adversarial Network—0
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation—0
Deep Q-Learning for Directed Acyclic Graph Generation—0
Deep imitation learning for molecular inverse problems—0
Generative modeling of the enteric nervous system employing point pattern analysis and graph construction—0
Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes—0
Deep Graph Generators: A Survey—0
AUG: A New Dataset and An Efficient Model for Aerial Image Urban Scene Graph Generation—0
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks—0
Generative Graph Convolutional Network for Growing Graphs—0
Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation—0
Generative Explanations for Graph Neural Network: Methods and Evaluations—0
Decomposed Prototype Learning for Few-Shot Scene Graph Generation—0
A Tunable Model for Graph Generation Using LSTM and Conditional VAE—0
Generative AI for Visualization: State of the Art and Future Directions—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
DDS: Decoupled Dynamic Scene-Graph Generation Network—0
Generalized Visual Relation Detection with Diffusion Models—0
Generalized Unbiased Scene Graph Generation—0
DBGDGM: Dynamic Brain Graph Deep Generative Model—0
Attentive Relational Networks for Mapping Images to Scene Graphs—0
GEMS: Scene Expansion using Generative Models of Graphs—0
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Benchmark Results

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