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Contrastive Laplacian Eigenmaps

Contrastive Laplacian Eigenmaps

Neural Information Processing Systems (NeurIPS), 2022
14 January 2022
Hao Zhu
Ke Sun
Piotr Koniusz
ArXiv (abs)PDFHTML

Papers citing "Contrastive Laplacian Eigenmaps"

23 / 23 papers shown
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsThe Web Conference (WWW), 2025
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
367
2
0
22 Feb 2025
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive LearningAAAI Conference on Artificial Intelligence (AAAI), 2024
Jianqing Liang
Xinkai Wei
Min Chen
Zhiqiang Wang
Jiye Liang
655
1
0
18 Dec 2024
Your Graph Recommender is Provably a Single-view Graph Contrastive
  Learning
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning
Wenjie Yang
Shengzhong Zhang
Jiaxing Guo
Zengfeng Huang
105
1
0
25 Jul 2024
Pre-training with Random Orthogonal Projection Image Modeling
Pre-training with Random Orthogonal Projection Image ModelingInternational Conference on Learning Representations (ICLR), 2023
Maryam Haghighat
Peyman Moghadam
Shaheer Mohamed
Piotr Koniusz
VLM
326
14
0
28 Oct 2023
Self-Contrastive Graph Diffusion Network
Self-Contrastive Graph Diffusion NetworkACM Multimedia (ACM MM), 2023
Yixuan Ma
Kun Zhan
168
11
0
27 Jul 2023
The Galerkin method beats Graph-Based Approaches for Spectral Algorithms
The Galerkin method beats Graph-Based Approaches for Spectral AlgorithmsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Vivien A. Cabannes
Francis R. Bach
296
3
0
01 Jun 2023
Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training
  (SCPT)
Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT)Data mining and knowledge discovery (DMKD), 2023
Arian Prabowo
Hao Xue
Wei Shao
Piotr Koniusz
Flora D. Salim
AI4TS
338
18
0
09 May 2023
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action
  Recognition
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action RecognitionComputer Vision and Pattern Recognition (CVPR), 2023
Lei Wang
Piotr Koniusz
ViT
224
68
0
25 Mar 2023
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in
  Traffic Forecasting
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic ForecastingInternational Conference on Internet-of-Things Design and Implementation (IoTDI), 2023
Arian Prabowo
Wei Shao
Hao Xue
Piotr Koniusz
Flora D. Salim
AI4TS
248
18
0
20 Feb 2023
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
MA-GCL: Model Augmentation Tricks for Graph Contrastive LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Xumeng Gong
Cheng Yang
Chuan Shi
VLM
194
60
0
14 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Spectral Feature Augmentation for Graph Contrastive Learning and BeyondAAAI Conference on Artificial Intelligence (AAAI), 2022
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Irwin King
245
125
0
02 Dec 2022
Uncertainty-DTW for Time Series and Sequences
Uncertainty-DTW for Time Series and SequencesEuropean Conference on Computer Vision (ECCV), 2022
Lei Wang
Piotr Koniusz
258
45
0
30 Oct 2022
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action
  Recognition
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action RecognitionAsian Conference on Computer Vision (ACCV), 2022
Lei Wang
Piotr Koniusz
328
36
0
30 Oct 2022
Efficient block contrastive learning via parameter-free meta-node
  approximation
Efficient block contrastive learning via parameter-free meta-node approximationNeurocomputing (Neurocomputing), 2022
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
206
3
0
28 Sep 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive LearningKnowledge Discovery and Data Mining (KDD), 2022
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
316
110
0
09 Jun 2022
SCGC : Self-Supervised Contrastive Graph Clustering
SCGC : Self-Supervised Contrastive Graph ClusteringNeurocomputing (Neurocomputing), 2022
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
209
27
0
27 Apr 2022
Graph-adaptive Rectified Linear Unit for Graph Neural Networks
Graph-adaptive Rectified Linear Unit for Graph Neural NetworksThe Web Conference (WWW), 2022
Yifei Zhang
Hao Zhu
Ziqiao Meng
Piotr Koniusz
Irwin King
224
34
0
13 Feb 2022
Meta-Learning for Multi-Label Few-Shot Classification
Meta-Learning for Multi-Label Few-Shot Classification
Christian Simon
Piotr Koniusz
Mehrtash Harandi
284
36
0
26 Oct 2021
Towards a Robust Differentiable Architecture Search under Label Noise
Towards a Robust Differentiable Architecture Search under Label NoiseIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Christian Simon
Piotr Koniusz
L. Petersson
Yan Han
Mehrtash Harandi
NoLaAAMLOOD
147
5
0
23 Oct 2021
Simple Dialogue System with AUDITED
Simple Dialogue System with AUDITEDBritish Machine Vision Conference (BMVC), 2021
Eugenio Clerico
Piotr Koniusz
205
2
0
22 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Jun Xia
Lirong Wu
Ge Wang
Jintao Chen
Stan Z. Li
351
158
0
05 Oct 2021
DeeperGCN: All You Need to Train Deeper GCNs
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li
Chenxin Xiong
Ali K. Thabet
Guohao Li
GNN
575
488
0
13 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on GraphsInternational Conference on Machine Learning (ICML), 2020
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
722
1,576
0
10 Jun 2020
1