Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models

Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models

4 June 2024

Danial Dervovic

Saumitra Mishra

Papers citing "Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models"

10 / 10 papers shown

Title
Community-Invariant Graph Contrastive Learning Shiyin Tan Dongyuan Li Renhe Jiang Ying Zhang Manabu Okumura OOD 36 2 0 02 May 2024
Neural Scaling Laws on Graphs Jingzhe Liu Haitao Mao Zhikai Chen Tong Zhao Neil Shah Jiliang Tang 40 9 0 03 Feb 2024
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking Juanhui Li Harry Shomer Haitao Mao Shenglai Zeng Yao Ma Neil Shah Jiliang Tang Dawei Yin 62 46 0 18 Jun 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 187 35 0 21 Feb 2023
Diffusion Models for Graphs Benefit From Discrete State Spaces K. Haefeli Karolis Martinkus Nathanael Perraudin Roger Wattenhofer DiffM 71 51 0 04 Oct 2022
A Continuous Time Framework for Discrete Denoising Models Andrew Campbell Joe Benton Valentin De Bortoli Tom Rainforth George Deligiannidis Arnaud Doucet DiffM 172 132 0 30 May 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 199 392 0 10 Feb 2021
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong G. Li Mucong Ding Zuxuan Wu Chen Zhu Bernard Ghanem Gavin Taylor Tom Goldstein 87 74 0 19 Oct 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020