Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative
Representations

Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations

15 October 2022

Papers citing "Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations"

17 / 17 papers shown

Title
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Y. Wang Kailai Wang Songhua Hu Yunpeng Zhang Gino Lim Pengyu Zhu 11 0 0 12 May 2025
Node Embeddings via Neighbor Embeddings Jan Niklas Böhm Marius Keute Alica Guzmán Sebastian Damrich Andrew Draganov D. Kobak GNN 57 0 0 31 Mar 2025
A Simple Graph Contrastive Learning Framework for Short Text Classification Yonghao Liu Fausto Giunchiglia Lan Huang Ximing Li Xiaoyue Feng Renchu Guan 34 0 0 17 Jan 2025
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
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem Xinbiao Wang Yuxuan Du Kecheng Liu Yong Luo Bo Du Dacheng Tao 27 1 0 12 May 2024
LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting Qinyao Luo Silu He Xing Han Yuhan Wang Haifeng Li AI4TS 43 45 0 25 Mar 2024
HSONet:A Siamese foreground association-driven hard case sample optimization network for high-resolution remote sensing image change detection Chao Tao Dongsheng Kuang Zhenyang Huang Chengli Peng Haifeng Li 37 0 0 26 Feb 2024
A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data Jungwon Choi Seongho Keum Eunggu Yun Byung-Hoon Kim Juho Lee 28 4 0 04 Dec 2023
Perfect Alignment May be Poisonous to Graph Contrastive Learning Jingyu Liu Huayi Tang Yong Liu 26 2 0 06 Oct 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 24 56 0 15 Nov 2022
STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph Silu He Qinyao Luo Ronghua Du Ling Zhao Haifeng Li 33 36 0 30 Oct 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby Qi Liu 27 20 0 16 Jun 2022
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning Chao Tao Ji Qi Guo Zhang Qing Zhu Weipeng Lu Haifeng Li 34 40 0 10 Apr 2022
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 62 203 0 05 Dec 2021
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks Xiang Li Danhao Ding B. Kao Yizhou Sun N. Mamoulis 32 46 0 18 Dec 2020
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics Yunchao Gong Qifa Ke Michael Isard Svetlana Lazebnik 3DV 62 584 0 18 Dec 2012