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 1–25 of 712 papers

TitleStatusHype
NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation—0
GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text RepresentationCode0
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning—0
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph LearningCode2
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery—0
CoPa-SG: Dense Scene Graphs with Parametric and Proto-Relations—0
HOIverse: A Synthetic Scene Graph Dataset With Human Object Interactions—0
DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph RefinementCode2
FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding—0
Bures-Wasserstein Flow Matching for Graph Generation—0
Open World Scene Graph Generation using Vision Language ModelsCode2
Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs—0
Out-of-Distribution Graph Models Merging—0
Studying and Improving Graph Neural Network-based Motif Estimation—0
Hi-Dyna Graph: Hierarchical Dynamic Scene Graph for Robotic Autonomy in Human-Centric Environments—0
EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity UnderstandingCode1
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation—0
Directed Graph Grammars for Sequence-based LearningCode1
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation—0
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation—0
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical StudyCode0
GCAL: Adapting Graph Models to Evolving Domain ShiftsCode0
SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph RetrievalCode0
ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling—0
Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation—0
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Benchmark Results

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