SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators

4 April 2022

Roger Wattenhofer

Papers citing "SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators"

50 / 53 papers shown

Title
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation Peizhi Niu Yu-Hsiang Wang Vishal Rana Chetan Rupakheti Abhishek Pandey O. Milenkovic 30 0 0 08 Apr 2025
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs Yoann Boget Alexandros Kalousis DiffM 58 0 0 27 Mar 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 78 0 0 15 Mar 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 97 2 0 21 Feb 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation Yiming Huang Tolga Birdal DiffM 78 0 0 06 Feb 2025
Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling Markus Krimmel Jenna Wiens Karsten M. Borgwardt Dexiong Chen 91 0 0 04 Feb 2025
Graph Generative Pre-trained Transformer Xiaohui Chen Yinkai Wang Jiaxing He Yuanqi Du S. Hassoun Xiaolin Xu Li Liu 43 1 0 03 Jan 2025
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions Mai Elkady Thu Bui Bruno Ribeiro David I. Inouye 62 0 0 20 Nov 2024
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation Bohan Wang Yurui Chang Lu Lin OODD OOD 37 0 0 23 Oct 2024
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation Félix Marcoccia C. Adjih P. Mühlethaler DiffM 16 0 0 09 Oct 2024
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing Kaizhi Zheng Xiaotong Chen Xuehai He Jing Gu Linjie Li Zhengyuan Yang Kevin Qinghong Lin Jianfeng Wang Lijuan Wang Xin Eric Wang KELM DiffM 40 0 0 03 Oct 2024
Challenges of Generating Structurally Diverse Graphs Fedor Velikonivtsev Mikhail Mironov Liudmila Prokhorenkova 34 3 0 27 Sep 2024
IFH: a Diffusion Framework for Flexible Design of Graph Generative Models Samuel Cognolato A. Sperduti Luciano Serafini DiffM 43 0 0 23 Aug 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation Tobias Bernecker Ghalia Rehawi Francesco Paolo Casale Janine Knauer-Arloth Annalisa Marsico 35 1 0 08 Aug 2024
InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with Semantic Graph Prior Chenguo Lin Yuchen Lin Panwang Pan Xuanyang Zhang Yadong Mu 3DV 51 1 0 10 Jul 2024
Generative Modelling of Structurally Constrained Graphs Manuel Madeira Clément Vignac D. Thanou Pascal Frossard DiffM 53 0 0 25 Jun 2024
Advancing Graph Generation through Beta Diffusion Yilin He Xinyang Liu Bo Chen Mingyuan Zhou DiffM 31 0 0 13 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 41 3 0 10 Jun 2024
Variational Flow Matching for Graph Generation Floor Eijkelboom Grigory Bartosh C. A. Naesseth Max Welling Jan Willem van de Meent 31 10 0 07 Jun 2024
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 43 8 0 19 May 2024
GraphRCG: Self-Conditioned Graph Generation Song Wang Zhen Tan Xinyu Zhao Tianlong Chen Huan Liu Jundong Li 47 0 0 02 Mar 2024
Graph Diffusion Policy Optimization Yijing Liu Chao Du Tianyu Pang Chongxuan Li Wei Chen Min-Bin Lin 34 7 0 26 Feb 2024
Artificial Intelligence for Complex Network: Potential, Methodology and Application Jingtao Ding Chang Liu Y. Zheng Yunke Zhang Zihan Yu ... Hongyi Chen J. Piao Huandong Wang Jiazhen Liu Yong Li AI4CE 22 10 0 23 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Qiufeng Wang Yang You DD 71 13 0 07 Feb 2024
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior Chenguo Lin Yadong Mu 3DV 14 32 0 07 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun-Xiong Xia Bozhen Hu Stan Z. Li 46 6 0 04 Feb 2024
Efficient and Scalable Graph Generation through Iterative Local Expansion Andreas Bergmeister Karolis Martinkus Nathanael Perraudin Roger Wattenhofer 21 12 0 14 Dec 2023
A Simple and Scalable Representation for Graph Generation Yunhui Jang Seul Lee Sungsoo Ahn 21 4 0 04 Dec 2023
Leveraging Graph Diffusion Models for Network Refinement Tasks Puja Trivedi Ryan A. Rossi David Arbour Tong Yu Franck Dernoncourt Sungchul Kim Nedim Lipka Namyong Park Nesreen K. Ahmed Danai Koutra DiffM 29 0 0 29 Nov 2023
Sparse Training of Discrete Diffusion Models for Graph Generation Yiming Qin Clément Vignac Pascal Frossard 27 12 0 03 Nov 2023
CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model Jui-Yi Tsai Ya-Wen Teng Ho Chiok Yew De-Nian Yang Lydia Y. Chen DiffM 25 1 0 03 Nov 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 26 9 0 13 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 27 19 0 08 Oct 2023
AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies Karolis Martinkus J. Ludwiczak Kyunghyun Cho Weishao Lian J. Lafrance-Vanasse ... A. Rajpal Y. Wu Richard Bonneau Vladimir Gligorijević Andreas Loukas DiffM 31 36 0 28 Jul 2023
Autoregressive Diffusion Model for Graph Generation Lingkai Kong Jiaming Cui Haotian Sun Yuchen Zhuang B. Prakash Chao Zhang DiffM 28 65 0 17 Jul 2023
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation Qi Yan Zhen-Long Liang Yang Song Renjie Liao Lele Wang DiffM 55 18 0 04 Jul 2023
Size Matters: Large Graph Generation with HiGGs Alex O. Davies Nirav Ajmeri Telmo de Menezes e Silva Filho 39 3 0 20 Jun 2023
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning Mattia Atzeni Mrinmaya Sachan Andreas Loukas LRM 22 3 0 05 Jun 2023
Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion Alex Tseng N. Diamant Tommaso Biancalani Gabriele Scalia DiffM 14 1 0 05 Jun 2023
HiGen: Hierarchical Graph Generative Networks Mahdi Karami 31 4 0 30 May 2023
Graph Generation with $K^2$ -trees Yunhui Jang Dongwoo Kim Sungsoo Ahn 37 2 0 30 May 2023
Discovering Graph Generation Algorithms Mihai Babiac Karolis Martinkus Roger Wattenhofer 24 1 0 25 Apr 2023
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion Alex Tseng N. Diamant Tommaso Biancalani Gabriele Scalia DiffM 19 5 0 07 Feb 2023
Graph Generation with Diffusion Mixture Jaehyeong Jo Dongki Kim Sung Ju Hwang DiffM 29 19 0 07 Feb 2023
W2SAT: Learning to generate SAT instances from Weighted Literal Incidence Graphs Weihuang Wen Tianshu Yu 11 3 0 01 Feb 2023
E(n)-equivariant Graph Neural Cellular Automata G. Gala Daniele Grattarola Erik Quaeghebeur GNN 45 3 0 25 Jan 2023
A Framework for Large Scale Synthetic Graph Dataset Generation Sajad Darabi P. Bigaj Dawid Majchrowski Artur Kasymov Pawel M. Morkisz A. Fit-Florea 32 4 0 04 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 97 52 0 04 Oct 2022
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 68 34 0 05 Oct 2021
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 203 885 0 07 Jun 2018