Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

2 December 2022

Irwin King

Papers citing "Spectral Feature Augmentation for Graph Contrastive Learning and Beyond"

11 / 11 papers shown

Title
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning Jianqing Liang Xinkai Wei Min Chen Zhiqiang Wang Jiye Liang 71 0 0 18 Dec 2024
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks Zongwei Wang Junliang Yu Min Gao Hongzhi Yin Bin Cui S. Sadiq AAML 13 7 0 30 Nov 2023
Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang Min Zhou Rex Ying Yankai Chen Irwin King 29 19 0 15 Jun 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 28 3 0 16 May 2023
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition Lei Wang Piotr Koniusz ViT 21 45 0 25 Mar 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 69 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 31 14 0 20 Feb 2023
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin Qingzhong Wang Siyu Huang Haoyi Xiong Xiang Zhang 35 143 0 21 Sep 2021
Tensor Representations for Action Recognition Piotr Koniusz Lei Wang A. Cherian 29 68 0 28 Dec 2020
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification Piotr Koniusz Hongguang Zhang 37 56 0 27 Dec 2020
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 181 350 0 12 Jun 2018