Papers with Code 아카이브
Graph Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 6
Graph Generation is an important research area with significant applications in drug and material designs.
Source: Graph Deconvolutional Generation
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation
GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text Representation
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning
CoPa-SG: Dense Scene Graphs with Parametric and Proto-Relations
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery
HOIverse: A Synthetic Scene Graph Dataset With Human Object Interactions
DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement
FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding
Bures-Wasserstein Flow Matching for Graph Generation
Open World Scene Graph Generation using Vision Language Models
Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs
Out-of-Distribution Graph Models Merging
EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding
Hi-Dyna Graph: Hierarchical Dynamic Scene Graph for Robotic Autonomy in Human-Centric Environments
Studying and Improving Graph Neural Network-based Motif Estimation
Directed Graph Grammars for Sequence-based Learning
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation
GCAL: Adapting Graph Models to Evolving Domain Shifts
SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling
Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production
Relation-R1: Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relational Comprehension
Multi-modal Knowledge Graph Generation with Semantics-enriched Prompts
Robo-SGG: Exploiting Layout-Oriented Normalization and Restitution for Robust Scene Graph Generation
Synthetic Data for Blood Vessel Network Extraction
Generalized Visual Relation Detection with Diffusion Models
HBS -- Hardware Build System: A Tcl-based, minimal common abstraction approach for build system for hardware designs
Beyond LLMs: A Linguistic Approach to Causal Graph Generation from Narrative Texts
SAMJAM: Zero-Shot Video Scene Graph Generation for Egocentric Kitchen Videos
NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.