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MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning

18 June 2022

Namyong Park

Ryan Rossi

Nesreen Ahmed

Christos Faloutsos

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Papers citing "MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning"

25 / 25 papers shown

Title
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 115 8 0 04 Oct 2024
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs Namyong Park Fuchen Liu Purvanshi Mehta D. Cristofor Christos Faloutsos Yuxiao Dong 73 86 0 15 Feb 2022
Self-supervised Graph-level Representation Learning with Local and Global Structure Minghao Xu Hang Wang Bingbing Ni Hongyu Guo Jian Tang SSL 52 212 0 08 Jun 2021
Graph Learning: A Survey Xiwei Xu Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 87 354 0 03 May 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 93 87 0 01 Mar 2021
Graph Neural Network for Traffic Forecasting: A Survey Weiwei Jiang Jiayun Luo GNN AI4TS AI4CE 237 883 0 27 Jan 2021
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks Yingfang Yuan Wenjun Wang George Macleod Coghill Wei Pang 62 15 0 22 Jan 2021
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms Mengying Guo Tao Yi Yuqing Zhu Yungang Bao 36 9 0 16 Jan 2021
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 192 322 0 17 Nov 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Helen Zhou 122 92 0 26 Jun 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 286 1,210 0 03 Mar 2020
Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS Petro B. Liashchynskyi Pavlo Liashchynskyi 70 545 0 12 Dec 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Helen Zhou GNN 104 182 0 07 Sep 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 256 1,904 0 19 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 250 3,184 0 19 Feb 2019
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 208 1,102 0 04 Jul 2018
Learning Role-based Graph Embeddings Nesreen Ahmed Ryan Rossi J. B. Lee Theodore L. Willke R. Zhou Xiangnan Kong Hoda Eldardiry 62 96 0 07 Feb 2018
graph2vec: Learning Distributed Representations of Graphs A. Narayanan Mahinthan Chandramohan R. Venkatesan Lihui Chen Yang Liu Shantanu Jaiswal GNN 71 745 0 17 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 516 15,331 0 07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 194 4,837 0 17 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 833 11,952 0 09 Mar 2017
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,924 0 03 Jul 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 234 2,336 0 21 Mar 2016
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 263 9,809 0 26 Mar 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 376 7,965 0 13 Jun 2012