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 351–400 of 712 papers

TitleStatusHype
LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph GenerationCode1
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows—0
Multimodal Subtask Graph Generation from Instructional Videos—0
Unsupervised Task Graph Generation from Instructional Video Transcripts—0
From Graph Generation to Graph Classification—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Geometry-Complete Diffusion for 3D Molecule Generation and OptimizationCode2
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusionCode1
Graph Generation with Diffusion MixtureCode1
Generative Diffusion Models on Graphs: Methods and ApplicationsCode2
Self-Supervised Relation Alignment for Scene Graph Generation—0
DBGDGM: Dynamic Brain Graph Deep Generative Model—0
Graph Neural Networks can Recover the Hidden Features Solely from the Graph StructureCode1
Improving Graph Generation by Restricting Graph BandwidthCode0
DDS: Decoupled Dynamic Scene-Graph Generation Network—0
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation—0
Visual Traffic Knowledge Graph Generation from Scene Images—0
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation—0
IS-GGT: Iterative Scene Graph Generation With Generative Transformers—0
Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic SpaceCode1
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph GenerationCode1
Skew Class-balanced Re-weighting for Unbiased Scene Graph GenerationCode0
Peer Learning for Unbiased Scene Graph Generation—0
EDoG: Adversarial Edge Detection For Graph Neural Networks—0
SrTR: Self-reasoning Transformer with Visual-linguistic Knowledge for Scene Graph Generation—0
Molecular Graph Generation by Decomposition and Reassembling—0
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category DiscoveryCode1
Data Imputation with Iterative Graph ReconstructionCode1
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph GenerationCode1
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural NetworkCode1
SGDraw: Scene Graph Drawing Interface Using Object-Oriented RepresentationCode0
Iterative Scene Graph Generation with Generative Transformers—0
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity ParsingCode1
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal TransformerCode1
NVDiff: Graph Generation through the Diffusion of Node Vectors—0
An Enhanced Object Detection Model for Scene Graph Generation—0
Knowledge Graph Generation From TextCode1
Clustering based opcode graph generation for malware variant detection—0
Fast Graph Generation via Spectral DiffusionCode1
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation—0
Perspectives on neural proof nets—0
Implicit Graphon Neural RepresentationCode1
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds—0
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph GenerationCode1
Micro and Macro Level Graph Modeling for Graph Variational Auto-EncodersCode1
Generative modeling of the enteric nervous system employing point pattern analysis and graph construction—0
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation—0
G2A2: An Automated Graph Generator with Attributes and Anomalies—0
Explore Contextual Information for 3D Scene Graph Generation—0
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series ForecastingCode1
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Benchmark Results

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