Graph Representation Learning with Diffusion Generative Models

22 January 2025

Papers citing "Graph Representation Learning with Diffusion Generative Models"

19 / 19 papers shown

Title
Large Generative Graph Models Yu Wang Ryan Rossi Namyong Park Huiyuan Chen Nesreen K. Ahmed Puja Trivedi Franck Dernoncourt Danai Koutra Hanyu Wang AI4CE 95 4 0 07 Jun 2024
Directional diffusion models for graph representation learning Run Yang Yuling Yang Fan Zhou Qiang Sun DiffM 42 14 0 22 Jun 2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling Xiaohui Chen Jiaxing He Xuhong Han Liping Liu DiffM 75 55 0 06 May 2023
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations Tiexin Qin Benjamin Walker Terry Lyons Hongfei Yan Haoliang Li BDL AI4CE 51 3 0 22 Feb 2023
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 508 15,788 0 20 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 121 434 0 30 Nov 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 194 948 0 07 Jul 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 306 7,958 0 11 May 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 297 426 0 10 Feb 2021
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 245 828 0 16 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 759 18,408 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 544 10,591 0 17 Feb 2020
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 272 3,555 0 06 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 359 1,372 0 12 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 484 20,265 0 30 Oct 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 196 1,980 0 17 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 805 132,725 0 12 Jun 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 155 3,595 0 21 Nov 2016
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,467 0 24 Jun 2012