Graph Generation with Diffusion Mixture

7 February 2023

Papers citing "Graph Generation with Diffusion Mixture"

20 / 20 papers shown

Title
Explain with Visual Keypoints Like a Real Mentor! A Benchmark for Multimodal Solution Explanation J. S. Park J. Park Dongju Jang Jiwan Chung Byungwoo Yoo Jaewoo Shin S. Park Taehyeong Kim Youngjae Yu 41 0 0 04 Apr 2025
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs Yoann Boget Alexandros Kalousis DiffM 56 0 0 27 Mar 2025
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation Yiming Huang Tolga Birdal DiffM 76 0 0 06 Feb 2025
Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions? X. Wang Y. Liu Lexi Pang Siwei Chen Muhan Zhang DiffM 109 0 0 04 Feb 2025
Graph Generative Pre-trained Transformer Xiaohui Chen Yinkai Wang Jiaxing He Yuanqi Du S. Hassoun Xiaolin Xu Li Liu 34 1 0 03 Jan 2025
Conditional Synthesis of 3D Molecules with Time Correction Sampler Hojung Jung Youngrok Park Laura Schmid Jaehyeong Jo Dongkyu Lee Bongsang Kim Se-Young Yun Jinwoo Shin DiffM 29 4 0 01 Nov 2024
Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling Hritaban Ghosh Chen Changyu Arunesh Sinha Shamik Sural 19 0 0 15 Oct 2024
Geometric Representation Condition Improves Equivariant Molecule Generation Zian Li Cai Zhou Xiyuan Wang Xingang Peng Muhan Zhang 37 1 0 04 Oct 2024
G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with Fine-Tuned Large Language Models Zhaoning Yu Xiangyang Xu Hongyang Gao 28 2 0 03 Oct 2024
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees Alexia Jolicoeur-Martineau A. Baratin Kisoo Kwon Boris Knyazev Yan Zhang 28 1 0 12 Jul 2024
Advancing Graph Generation through Beta Diffusion Yilin He Xinyang Liu Bo Chen Mingyuan Zhou DiffM 17 0 0 13 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 29 3 0 10 Jun 2024
Graph Diffusion Policy Optimization Yijing Liu Chao Du Tianyu Pang Chongxuan Li Wei Chen Min-Bin Lin 24 7 0 26 Feb 2024
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 22 8 0 11 Oct 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 244 260 0 15 Mar 2023
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 183 132 0 30 May 2022
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 170 160 0 21 Oct 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 392 0 10 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 168 185 0 01 Feb 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 219 1,329 0 12 Feb 2018