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Permutation Invariant Graph Generation via Score-Based Generative
  Modeling

Permutation Invariant Graph Generation via Score-Based Generative Modeling

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
2 March 2020
Chenhao Niu
Yang Song
Jiaming Song
Shengjia Zhao
Aditya Grover
Stefano Ermon
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Permutation Invariant Graph Generation via Score-Based Generative Modeling"

50 / 204 papers shown
Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete Latents
Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete Latents
Haozhuo Zheng
Cheng Wang
Yang Liu
96
0
0
02 Dec 2025
LGDC: Latent Graph Diffusion via Spectrum-Preserving Coarsening
LGDC: Latent Graph Diffusion via Spectrum-Preserving Coarsening
Nagham Osman
Keyue Jiang
Davide Buffelli
Xiaowen Dong
Laura Toni
188
1
0
01 Dec 2025
Joint Design of Protein Surface and Structure Using a Diffusion Bridge Model
Joint Design of Protein Surface and Structure Using a Diffusion Bridge Model
Guanlue Li
Xufeng Zhao
Fang Wu
Sören Laue
DiffM
150
0
0
08 Nov 2025
Discrete Bayesian Sample Inference for Graph Generation
Discrete Bayesian Sample Inference for Graph Generation
Ole Petersen
Marcel Kollovieh
Marten Lienen
Stephan Günnemann
DiffM
332
1
0
04 Nov 2025
Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening
Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening
Xin Eric Wang
Y. Wang
Yunchao Liu
J. Meiler
Tyler Derr
204
1
0
18 Oct 2025
Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance
Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance
Jiachi Zhao
Zehong Wang
Yamei Liao
Chuxu Zhang
Yanfang Ye
AI4CE
195
4
0
12 Oct 2025
Transport-Coupled Bayesian Flows for Molecular Graph Generation
Transport-Coupled Bayesian Flows for Molecular Graph Generation
Yida Xiong
Jiameng Chen
Kun Li
Hongzhi Zhang
Xiantao Cai
Wenbin Hu
Wenbin Hu
265
0
0
11 Oct 2025
ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis
ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis
Stephen Ni-Hahn
Chao Péter Yang
Mingchen Ma
Cynthia Rudin
Simon Mak
Yue Jiang
DiffM
177
0
0
11 Oct 2025
Permutation-Invariant Spectral Learning via Dyson Diffusion
Permutation-Invariant Spectral Learning via Dyson Diffusion
Tassilo Schwarz
Cai Dieball
Constantin Kogler
Kevin Lam
Renaud Lambiotte
Arnaud Doucet
Aljaž Godec
George Deligiannidis
DiffM
207
0
0
09 Oct 2025
Multi-scale Autoregressive Models are Laplacian, Discrete, and Latent Diffusion Models in Disguise
Multi-scale Autoregressive Models are Laplacian, Discrete, and Latent Diffusion Models in Disguise
Steve Hong
Samuel Belkadi
DiffM
152
0
0
03 Oct 2025
Graph Generation with Spectral Geodesic Flow Matching
Graph Generation with Spectral Geodesic Flow Matching
Xikun Huang
Tianyu Ruan
Chihao Zhang
Shihua Zhang
243
1
0
02 Oct 2025
Composable Score-based Graph Diffusion Model for Multi-Conditional Molecular Generation
Composable Score-based Graph Diffusion Model for Multi-Conditional Molecular Generation
Anjie Qiao
Zhen Wang
Chuan Chen
Defu Lian
Tong Xu
DiffM
335
1
0
11 Sep 2025
PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
Xinyu He
Chenhan Xiao
Haoran Li
Ruizhong Qiu
Zhe Xu
Yang Weng
Jingrui He
Hanghang Tong
174
4
0
29 Aug 2025
Score Matching on Large Geometric Graphs for Cosmology Generation
Score Matching on Large Geometric Graphs for Cosmology GenerationIFIP Working Conference on Database Semantics (IWDS), 2025
Diana-Alexandra Onutu
Yue Zhao
Joaquin Vanschoren
Vlado Menkovski
DiffM
177
0
0
23 Aug 2025
SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion
SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion
Junwei Su
Shan Wu
DiffM
255
0
0
20 Aug 2025
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
Junwei Su
Chuan Wu
DiffM
164
0
0
20 Aug 2025
Cognitive Structure Generation: From Educational Priors to Policy Optimization
Cognitive Structure Generation: From Educational Priors to Policy Optimization
Hengnian Gu
Zhifu Chen
Yuxin Chen
Jin Peng Zhou
Dongdai Zhou
DiffM
193
0
0
18 Aug 2025
Projected Coupled Diffusion for Test-Time Constrained Joint Generation
Projected Coupled Diffusion for Test-Time Constrained Joint Generation
Hao Luan
Yi Xian Goh
See-Kiong Ng
Chun Kai Ling
346
1
0
14 Aug 2025
Sparse Probabilistic Graph Circuits
Sparse Probabilistic Graph Circuits
Martin Rektoris
Milan Papez
Václav Smídl
Tomás Pevný
TPM
357
0
0
11 Aug 2025
Scalable Generative Modeling of Weighted Graphs
Scalable Generative Modeling of Weighted Graphs
Richard Williams
Eric Nalisnick
Andrew Holbrook
BDL
196
0
0
30 Jul 2025
Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems
Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems
Zhaoyan Wang
Hyunjun Ahn
In-Young Ko
200
0
0
28 Jul 2025
PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model
PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model
Beomseok Ko
Hyeryung Jang
MQ
273
0
0
20 Jun 2025
Generating Directed Graphs with Dual Attention and Asymmetric Encoding
Generating Directed Graphs with Dual Attention and Asymmetric Encoding
Alba Carballo-Castro
Manuel Madeira
Yiming Qin
D. Thanou
Pascal Frossard
403
2
0
19 Jun 2025
Bures-Wasserstein Flow Matching for Graph Generation
Bures-Wasserstein Flow Matching for Graph Generation
Keyue Jiang
Jiahao Cui
Xiaowen Dong
Laura Toni
402
2
0
16 Jun 2025
GGBall: Graph Generative Model on Poincaré Ball
GGBall: Graph Generative Model on Poincaré Ball
Tianci Bu
Chuanrui Wang
Hao Ma
Haoren Zheng
Xin Lu
Tailin Wu
261
0
0
08 Jun 2025
Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps
Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps
Dimitris G. Giovanis
N. Evangelou
Ioannis G. Kevrekidis
Roger G. Ghanem
194
0
0
02 Jun 2025
Feature-aware Hypergraph Generation via Next-Scale Prediction
Feature-aware Hypergraph Generation via Next-Scale Prediction
Dorian Gailhard
Enzo Tartaglione
Lirida Naviner
Jhony H. Giraldo
336
0
0
02 Jun 2025
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
Jipeng Li
Yanning Shen
DiffMAI4CE
374
0
0
28 May 2025
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation
Victor M. Tenorio
Nicolas Zilberstein
Santiago Segarra
A. Marques
298
1
0
26 May 2025
Learning Flexible Forward Trajectories for Masked Molecular Diffusion
Learning Flexible Forward Trajectories for Masked Molecular Diffusion
Hyunjin Seo
Taewon Kim
Sihyun Yu
SungSoo Ahn
DiffMAI4CE
737
2
0
22 May 2025
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
Can Rong
Xin Zhang
Yanxin Xi
Hongjie Sui
Jingtao Ding
Yongqian Li
297
0
0
21 May 2025
Incorporating Inductive Biases to Energy-based Generative Models
Incorporating Inductive Biases to Energy-based Generative Models
Yukun Li
Li-Ping Liu
535
1
0
02 May 2025
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs
Hao Luan
See-Kiong Ng
Chun Kai Ling
328
2
0
29 Apr 2025
DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform
DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform
Peizhi Niu
Yu-Hsiang Wang
Vishal Rana
Chetan Rupakheti
Abhishek Pandey
O. Milenkovic
819
1
0
08 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Ziqiang Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei Jin
AI4TSAI4CE
1.4K
20
0
29 Mar 2025
Graph Generative Models Evaluation with Masked Autoencoder
Graph Generative Models Evaluation with Masked AutoencoderPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
Chengen Wang
Murat Kantarcioglu
329
0
0
17 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffMGNN
526
4
0
16 Mar 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over GraphsConference on Uncertainty in Artificial Intelligence (UAI), 2025
Milan Papez
Martin Rektoris
Václav Smídl
Tomás Pevný
TPM
426
1
0
15 Mar 2025
Backdoor Attacks on Discrete Graph Diffusion Models
Backdoor Attacks on Discrete Graph Diffusion Models
Jiawen Wang
Samin Karim
Yuan Hong
Binghui Wang
DiffM
517
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08 Mar 2025
Learning with Exact Invariances in Polynomial Time
Learning with Exact Invariances in Polynomial Time
Ashkan Soleymani
B. Tahmasebi
Stefanie Jegelka
Patrick Jaillet
468
1
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27 Feb 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
Yiming Huang
Tolga Birdal
DiffM
511
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Fast Graph Generation via Autoregressive Noisy Filtration Modeling
Fast Graph Generation via Autoregressive Noisy Filtration Modeling
Markus Krimmel
Jenna Wiens
Karsten Borgwardt
Dexiong Chen
351
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04 Feb 2025
Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions?
Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions?
Xiang Wang
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Lexi Pang
Siwei Chen
Muhan Zhang
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772
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04 Feb 2025
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
Yinuo Ren
Haoxuan Chen
Yuchen Zhu
Wei Guo
Yongxin Chen
Grant M. Rotskoff
Molei Tao
Lexing Ying
DiffM
399
25
0
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Beyond Fixed Horizons: A Theoretical Framework for Adaptive Denoising Diffusions
Beyond Fixed Horizons: A Theoretical Framework for Adaptive Denoising Diffusions
Soren Christensen
Claudia Strauch
Lukas Trottner
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559
1
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31 Jan 2025
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary HistoryIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
En Xu
Can Rong
Jingtao Ding
Yong Li
864
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0
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Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration
Network Diffuser for Placing-Scheduling Service Function Chains with Inverse DemonstrationIEEE Conference on Computer Communications (IEEE INFOCOM), 2025
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Vaneet Aggarwal
Tian-Shing Lan
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357
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PQD: Post-training Quantization for Efficient Diffusion Models
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332
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Graph Generative Pre-trained Transformer
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Xiaohui Chen
Yinkai Wang
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Yuanqi Du
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540
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Vertical Validation: Evaluating Implicit Generative Models for Graphs on
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