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 26–50 of 712 papers

TitleStatusHype
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production—0
Relation-R1: Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relational Comprehension—0
Multi-modal Knowledge Graph Generation with Semantics-enriched Prompts—0
Robo-SGG: Exploiting Layout-Oriented Normalization and Restitution for Robust Scene Graph Generation—0
Synthetic Data for Blood Vessel Network Extraction—0
Generalized Visual Relation Detection with Diffusion Models—0
HBS -- Hardware Build System: A Tcl-based, minimal common abstraction approach for build system for hardware designsCode0
Beyond LLMs: A Linguistic Approach to Causal Graph Generation from Narrative Texts—0
SAMJAM: Zero-Shot Video Scene Graph Generation for Egocentric Kitchen Videos—0
NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving—0
Make Autoregressive Great Again: Diffusion-Free Graph Generation with Next-Scale Prediction—0
A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition—0
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs—0
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous DrivingCode1
A Causal Adjustment Module for Debiasing Scene Graph Generation—0
Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation—0
What can Off-the-Shelves Large Multi-Modal Models do for Dynamic Scene Graph Generation?—0
Universal Scene Graph Generation—0
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation—0
DIFFVSGG: Diffusion-Driven Online Video Scene Graph GenerationCode1
Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference—0
FunGraph: Functionality Aware 3D Scene Graphs for Language-Prompted Scene Interaction—0
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation—0
Backdoor Attacks on Discrete Graph Diffusion Models—0
Learning-Order Autoregressive Models with Application to Molecular Graph Generation—0
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Benchmark Results

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