Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Jiachi, Wang, Zehong, Liao, Yamei, Zhang, Chuxu, Ye, Yanfang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
by: Giral, Francisco, et al.
Published: (2026)
by: Giral, Francisco, et al.
Published: (2026)
TFG-Flow: Training-free Guidance in Multimodal Generative Flow
by: Lin, Haowei, et al.
Published: (2025)
by: Lin, Haowei, et al.
Published: (2025)
AIGB: Generative Auto-bidding via Conditional Diffusion Modeling
by: Guo, Jiayan, et al.
Published: (2024)
by: Guo, Jiayan, et al.
Published: (2024)
Graph Diffusion Policy Optimization
by: Liu, Yijing, et al.
Published: (2024)
by: Liu, Yijing, et al.
Published: (2024)
Retrosynthesis Prediction via Search in (Hyper) Graph
by: Lan, Zixun, et al.
Published: (2024)
by: Lan, Zixun, et al.
Published: (2024)
Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting
by: Zhao, Lifan, et al.
Published: (2024)
by: Zhao, Lifan, et al.
Published: (2024)
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)
by: Wang, Shengkun, et al.
Published: (2024)
Regulatory Graphs and GenAI for Real-Time Transaction Monitoring and Compliance Explanation in Banking
by: Khanvilkar, Kunal, et al.
Published: (2025)
by: Khanvilkar, Kunal, et al.
Published: (2025)
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
by: Li, Ruikun, et al.
Published: (2025)
by: Li, Ruikun, et al.
Published: (2025)
CTBench: Cryptocurrency Time Series Generation Benchmark
by: Ang, Yihao, et al.
Published: (2025)
by: Ang, Yihao, et al.
Published: (2025)
Diffusion Models for Molecules: A Survey of Methods and Tasks
by: Wang, Liang, et al.
Published: (2025)
by: Wang, Liang, et al.
Published: (2025)
Coupled Diffusion-Encoder Models for Reconstruction of Flow Fields
by: Hemmasian, AmirPouya, et al.
Published: (2026)
by: Hemmasian, AmirPouya, et al.
Published: (2026)
Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence
by: Balhorn, Lukas Schulze, et al.
Published: (2024)
by: Balhorn, Lukas Schulze, et al.
Published: (2024)
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
by: Zhang, Zeyang, et al.
Published: (2023)
by: Zhang, Zeyang, et al.
Published: (2023)
Crisis-Resilient Portfolio Management via Graph-based Spatio-Temporal Learning
by: Li, Zan, et al.
Published: (2025)
by: Li, Zan, et al.
Published: (2025)
Sparse Computations in Deep Learning Inference
by: Tasou, Ioanna, et al.
Published: (2025)
by: Tasou, Ioanna, et al.
Published: (2025)
Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention
by: Curtosi, Gabriel, et al.
Published: (2026)
by: Curtosi, Gabriel, et al.
Published: (2026)
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
by: Zhao, Mengjie, et al.
Published: (2024)
by: Zhao, Mengjie, et al.
Published: (2024)
Solution Space Topology Guides CMTS Search
by: Mannucci, Mirco A.
Published: (2025)
by: Mannucci, Mirco A.
Published: (2025)
Diffusion Large Language Models for Black-Box Optimization
by: Yuan, Ye, et al.
Published: (2026)
by: Yuan, Ye, et al.
Published: (2026)
Automated Design Optimization via Strategic Search with Large Language Models
by: Carreon, Anthony, et al.
Published: (2025)
by: Carreon, Anthony, et al.
Published: (2025)
Proteo-R1: Reasoning Foundation Models for De Novo Protein Design
by: Wu, Fang, et al.
Published: (2026)
by: Wu, Fang, et al.
Published: (2026)
Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs
by: Zola, Francesco, et al.
Published: (2025)
by: Zola, Francesco, et al.
Published: (2025)
On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching
by: Rashed, Mohammad, et al.
Published: (2026)
by: Rashed, Mohammad, et al.
Published: (2026)
MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization
by: Chen, Xiangsen, et al.
Published: (2026)
by: Chen, Xiangsen, et al.
Published: (2026)
Boosting In-Silicon Directed Evolution with Fine-Tuned Protein Language Model and Tree Search
by: Yang, Yaodong, et al.
Published: (2025)
by: Yang, Yaodong, et al.
Published: (2025)
Ada-MoGE: Adaptive Mixture of Gaussian Expert Model for Time Series Forecasting
by: Ni, Zhenliang, et al.
Published: (2025)
by: Ni, Zhenliang, et al.
Published: (2025)
UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction
by: Xin, Weilin, et al.
Published: (2025)
by: Xin, Weilin, et al.
Published: (2025)
MolProphecy: Bridging Medicinal Chemists' Knowledge and Molecular Pre-Trained Models via a Multi-Modal Framework
by: Zhao, Jianping, et al.
Published: (2025)
by: Zhao, Jianping, et al.
Published: (2025)
Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers
by: Zheng, Li, et al.
Published: (2025)
by: Zheng, Li, et al.
Published: (2025)
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)
by: Wu, Yuanhong, et al.
Published: (2026)
Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs
by: Wang, Mianchu, et al.
Published: (2025)
by: Wang, Mianchu, et al.
Published: (2025)
GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees
by: Xiong, Sichao, et al.
Published: (2024)
by: Xiong, Sichao, et al.
Published: (2024)
FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series Forecasting
by: Obermeier, Marco, et al.
Published: (2026)
by: Obermeier, Marco, et al.
Published: (2026)
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data
by: Fan, Yuwei, et al.
Published: (2024)
by: Fan, Yuwei, et al.
Published: (2024)
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)
by: Zafeiriou, Theodoros, et al.
Published: (2024)
BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
by: Regenwetter, Lyle, et al.
Published: (2025)
by: Regenwetter, Lyle, et al.
Published: (2025)
Sparse Latent Factor Forecaster (SLFF) with Iterative Inference for Transparent Multi-Horizon Commodity Futures Prediction
by: Gupta, Abhijit
Published: (2025)
by: Gupta, Abhijit
Published: (2025)
DeepSupp: Attention-Driven Correlation Pattern Analysis for Dynamic Time Series Support and Resistance Levels Identification
by: Kriuk, Boris, et al.
Published: (2025)
by: Kriuk, Boris, et al.
Published: (2025)
Similar Items
-
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
by: Giral, Francisco, et al.
Published: (2026) -
TFG-Flow: Training-free Guidance in Multimodal Generative Flow
by: Lin, Haowei, et al.
Published: (2025) -
AIGB: Generative Auto-bidding via Conditional Diffusion Modeling
by: Guo, Jiayan, et al.
Published: (2024) -
Graph Diffusion Policy Optimization
by: Liu, Yijing, et al.
Published: (2024) -
Retrosynthesis Prediction via Search in (Hyper) Graph
by: Lan, Zixun, et al.
Published: (2024)