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 201–250 of 712 papers

TitleStatusHype
Hierarchical Relationships: A New Perspective to Enhance Scene Graph GenerationCode1
Fast Graph Generation via Spectral DiffusionCode1
Sparse Training of Discrete Diffusion Models for Graph GenerationCode1
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph GenerationCode1
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous DrivingCode1
Context-Aware Scene Graph Generation With Seq2Seq TransformersCode1
Fine-Grained Predicates Learning for Scene Graph GenerationCode1
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
A Causal Adjustment Module for Debiasing Scene Graph Generation—0
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production—0
GraphNVP: an Invertible Flow-based Model for Generating Molecular Graphs—0
Deep Q-Learning for Directed Acyclic Graph Generation—0
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation—0
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks—0
Deep imitation learning for molecular inverse problems—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
GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning—0
Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation—0
Decomposed Prototype Learning for Few-Shot Scene Graph Generation—0
A Tunable Model for Graph Generation Using LSTM and Conditional VAE—0
DDS: Decoupled Dynamic Scene-Graph Generation Network—0
DBGDGM: Dynamic Brain Graph Deep Generative Model—0
Attentive Relational Networks for Mapping Images to Scene Graphs—0
Accelerating Medical Knowledge Discovery through Automated Knowledge Graph Generation and Enrichment—0
GEMS: Scene Expansion using Generative Models of Graphs—0
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos—0
A Systematic Survey on Deep Generative Models for Graph Generation—0
Generalized Unbiased Scene Graph Generation—0
Generalized Visual Relation Detection with Diffusion Models—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Generative AI for Visualization: State of the Art and Future Directions—0
A graph similarity for deep learning—0
Generative Explanations for Graph Neural Network: Methods and Evaluations—0
Generative Graph Convolutional Network for Growing Graphs—0
G2A2: An Automated Graph Generator with Attributes and Anomalies—0
FunGraph: Functionality Aware 3D Scene Graphs for Language-Prompted Scene Interaction—0
Generative modeling of the enteric nervous system employing point pattern analysis and graph construction—0
From Route Instructions to Landmark Graphs—0
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization—0
A Survey on Deep Graph Generation: Methods and Applications—0
GG-GAN: A Geometric Graph Generative Adversarial Network—0
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation—0
Building Transportation Foundation Model via Generative Graph Transformer—0
GraphMapper: Efficient Visual Navigation by Scene Graph Generation—0
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization—0
From Graph Generation to Graph Classification—0
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs—0
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Benchmark Results

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