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 226–250 of 712 papers

TitleStatusHype
ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling—0
Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation—0
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
Generalized Visual Relation Detection with Diffusion Models—0
Synthetic Data for Blood Vessel Network Extraction—0
HBS -- Hardware Build System: A Tcl-based, minimal common abstraction approach for build system for hardware designsCode0
SAMJAM: Zero-Shot Video Scene Graph Generation for Egocentric Kitchen Videos—0
Beyond LLMs: A Linguistic Approach to Causal Graph Generation from Narrative Texts—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
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
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