Graph-adaptive Rectified Linear Unit for Graph Neural Networks

Graph-adaptive Rectified Linear Unit for Graph Neural Networks

13 February 2022

Irwin King

Papers citing "Graph-adaptive Rectified Linear Unit for Graph Neural Networks"

10 / 10 papers shown

Title
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 41 4 0 16 May 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting Arian Prabowo Wei Shao Hao Xue Piotr Koniusz Flora D. Salim AI4TS 39 14 0 20 Feb 2023
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 45 87 0 02 Dec 2022
Uncertainty-DTW for Time Series and Sequences Lei Wang Piotr Koniusz 11 33 0 30 Oct 2022
Graph Component Contrastive Learning for Concept Relatedness Estimation Yueen Ma Zixing Song Xuming Hu Jingjing Li Yifei Zhang Irwin King 32 12 0 25 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Iriwn King 41 90 0 09 Jun 2022
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 84 191 0 26 Feb 2021
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification Piotr Koniusz Hongguang Zhang 45 56 0 27 Dec 2020
Dynamic ReLU Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Lu Yuan Zicheng Liu 177 162 0 22 Mar 2020