[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

[TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation

Improving Word Translation via Two-Stage Contrastive Learning (ACL 2022). Keywords: Bilingual Lexicon Induction, Word Translation, Cross-Lingual Word Embeddings.

MSTDA

We propose a time-aware sampling network (TAS-Net) using deep reinforcement learning (DRL) for unsupervised emotion recognition, which is able to detect key emotion moments and disregard irrelevant…

Twin Contrastive Learning with Noisy Labels (CVPR 2023)

official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)

This is the official code for our TIP 2024 publication: Adaptive Log-Euclidean Metrics for SPD Matrix Learning

Hyperbolic embeddings using hyperbolic graph convulutional network and contrastive learning. Changes of hierachical structure are found between patients in the early stage of the Alzhiemer's Diseas…

This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"

A Matlab implementation of my previous work submitted to IEEE Trans. Big Data (TBD). If you have any queries, please do not hesitate to contact me [email protected]

CVPR24: Riemannian Multinomial Logistics Regression for SPD Neural Networks

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

PyTorch Implementation for "Hyperbolic Representation Learning: Revisiting and Advancing (ICML 2023)"

Hyperbolic Graph Convolutional Networks in PyTorch.

The official implementation of "EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations"

GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices

This is a repository based on the paper Hyperbolic Graph Convolutional Neural Networks. NIPS 2019.

Embedding graphs in symmetric spaces

Gilbert Strang: Introduction to linear algebra, 自己做的笔记