COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

9 June 2022

Papers citing "COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning"

31 / 31 papers shown

Title
A Binary Classification Social Network Dataset for Graph Machine Learning Adnan Ali Jinglong Li Huanhuan Chen AlMotasem Bellah Al Ajlouni GNN 57 0 0 04 Mar 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 38 0 0 22 Feb 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu OffRL 33 1 0 08 Jan 2025
Negative-Free Self-Supervised Gaussian Embedding of Graphs Yunhui Liu Tieke He Tao Zheng Jianhua Zhao SSL 33 1 0 02 Nov 2024
Multiplex Graph Contrastive Learning with Soft Negatives Zhenhao Zhao Minhong Zhu Chen Wang Sijia Wang Jiqiang Zhang Li Chen Weiran Cai 18 0 0 12 Sep 2024
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning Yunhui Liu Huaisong Zhang Tieke He Tao Zheng Jianhua Zhao SSL 32 4 0 09 Aug 2024
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation Shiyuan Li Yixin Liu Qingfeng Chen Geoffrey I. Webb Shirui Pan SSL 27 4 0 29 Jul 2024
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning Adnan Ali Jinlong Li Huanhuan Chen Ali Kashif Bashir 27 1 0 21 Jun 2024
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning Zixu Wang Bingbing Xu Yige Yuan Huawei Shen Xueqi Cheng OODD 32 2 0 25 May 2024
Masked Graph Autoencoder with Non-discrete Bandwidths Zi-qiang Zhao Yuhua Li Yixiong Zou Jiliang Tang Ruixuan Li 8 9 0 06 Feb 2024
Rethinking and Simplifying Bootstrapped Graph Latents Wangbin Sun Jintang Li Liang Chen Bingzhe Wu Yatao Bian Zibin Zheng 22 11 0 05 Dec 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning Yun Zhu Yaoke Wang Haizhou Shi Zhenshuo Zhang Dian Jiao Siliang Tang AI4CE 26 27 0 11 Oct 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 18 7 0 24 Jul 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 19 22 0 16 Jun 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 28 3 0 16 May 2023
Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT) Arian Prabowo Hao Xue Wei Shao Piotr Koniusz Flora D. Salim AI4TS 19 13 0 09 May 2023
ID-MixGCL: Identity Mixup for Graph Contrastive Learning Gehang Zhang Yu Bowen Jiangxia Cao Xinghua Zhang Jiawei Sheng Chuan Zhou Tingwen Liu 33 0 0 20 Apr 2023
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition Lei Wang Piotr Koniusz ViT 21 44 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
Momentum Contrastive Pre-training for Question Answering Minda Hu Muzhi Li Yasheng Wang Irwin King 16 3 0 12 Dec 2022
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning Menglin Yang Min Zhou Lujia Pan Irwin King 18 18 0 04 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 16 87 0 02 Dec 2022
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective Yige Yuan Bingbing Xu Huawei Shen Qi Cao Keting Cen Wen Zheng Xueqi Cheng 6 13 0 20 Nov 2022
Uncertainty-DTW for Time Series and Sequences Lei Wang Piotr Koniusz 11 32 0 30 Oct 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking Zhiyuan Ning P. Wang Pengyang Wang Ziyue Qiao Wei Fan Denghui Zhang Yi Du Yuanchun Zhou 16 13 0 28 Sep 2022
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning Jiashun Cheng Man Li Jia Li Fugee Tsung SSL 20 14 0 26 Jun 2022
Graph Component Contrastive Learning for Concept Relatedness Estimation Yueen Ma Zixing Song Xuming Hu Jingjing Li Yifei Zhang Irwin King 14 12 0 25 Jun 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng-Long Jiang OOD 17 78 0 17 Feb 2022
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 79 190 0 26 Feb 2021
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification Piotr Koniusz Hongguang Zhang 37 56 0 27 Dec 2020
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer Hongguang Zhang Philip H. S. Torr Piotr Koniusz ViT 33 3 0 06 Jan 2020