v1v2 (latest)

Unsupervised Optimisation of GNNs for Node Clustering

12 February 2024

Papers citing "Unsupervised Optimisation of GNNs for Node Clustering"

22 / 22 papers shown

Title
Uncertainty in GNN Learning Evaluations: A Comparison Between Measures for Quantifying Randomness in GNN Community Detection Will Leeney Ryan McConville 47 2 0 14 Dec 2023
Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection Will Leeney Ryan McConville 57 4 0 10 May 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research Arpandeep Khatua Vikram Sharma Mailthody Bhagyashree Taleka Tengfei Ma Xiang Song Wen-mei W. Hwu AI4CE 78 39 0 27 Feb 2023
GraphWorld: Fake Graphs Bring Real Insights for GNNs John Palowitch Anton Tsitsulin Brandon Mayer Bryan Perozzi GNN 249 69 0 28 Feb 2022
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset Dan Saattrup Nielsen Ryan McConville 61 80 0 23 Feb 2022
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 74 112 0 02 Aug 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 75 121 0 23 Mar 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu Matthias Fey Hongyu Ren Maho Nakata Yuxiao Dong J. Leskovec AI4CE 72 413 0 17 Mar 2021
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning Di Jin Zhizhi Yu Pengfei Jiao Shirui Pan Dongxiao He Hongzhi Zhang Philip S. Yu Weixiong Zhang GNN 162 286 0 03 Jan 2021
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 75 70 0 27 Oct 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice Li Yang Abdallah Shami AI4CE 176 2,108 0 30 Jul 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 239 827 0 16 Jul 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 84 266 0 30 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 91 694 0 09 Jun 2020
Deep Learning for Community Detection: Progress, Challenges and Opportunities Fanzhen Liu Shan Xue Hongzhi Zhang Chuan Zhou Wenbin Hu Cécile Paris Surya Nepal Jian Yang Philip S. Yu GNN 72 246 0 17 May 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 455 950 0 02 Mar 2020
A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica Marco Podda D. Bacciu Alessio Micheli FaML 128 449 0 20 Dec 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach Chun Wang Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Chengqi Zhang GNN 57 514 0 15 Jun 2019
Variational Autoencoders Pursue PCA Directions (by Accident) Michal Rolínek Dominik Zietlow Georg Martius OOD DRL 74 152 0 17 Dec 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 168 1,364 0 14 Nov 2018
Deep $k$ -Means: Jointly clustering with $k$ -Means and learning representations Maziar Moradi Fard Thibaut Thonet Éric Gaussier 60 239 0 26 Jun 2018
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,591 0 21 Nov 2016