graph-contrastive-learning

There are 4 repositories under graph-contrastive-learning topic.

PyGCL / PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
contrastive-learning graph-contrastive-learning graph-representation-learning machine-learning
Language:Python 835
CRIPAC-DIG / GCA
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
contrastive-learning deep-learning graph-contrastive-learning graph-representation-learning pytorch self-supervised-learning
Language:Python 150
HKUDS / LightGCL
[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
graph-contrastive-learning recommendation self-supervised-learning collaborative-filtering graph-neural-networks
Language:Python 148
HKUDS / HGCL
[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
graph-contrastive-learning recommendation self-supervised-learning graph-neural-networks heterogeneous-graph-learning collaborative-filtering
Language:Python 74
junxia97 / SimGRACE
[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"
graph-neural-networks pretraining graph-contrastive-learning graph-self-supervised-learning molecular-representation-learning
Language:Python 74
yifeiacc / COSTA
Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
contrastive-learning deep-learning graph graph-contrastive-learning graph-neural-networks pytorch
Language:Python 43
FelixDJC / GRADATE
An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.
anomaly-detection data-mining deep-learning graph-anomaly-detection graph-contrastive-learning graph-neural-networks machine-learning self-supervised-learning unsupervised-learning aaai2023
Language:Python 42
lsh0520 / RGCL
Ratioanle-aware Graph Contrastive Learning codebase
explainability generalization graph-contrastive-learning graph-pretraining icml2022 interpretability invariant-learning invariant-rationale-discovery
Language:Python 35
tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
graph-contrastive-learning graph-self-supervised-learning heterophily heterophily-graph contrastive-learning self-supervised-learning
23
JarenceSJ / ReviewGraph
[SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation
graph-contrastive-learning recommender-system review-based-recommendation
Language:Python 20
graphprojects / CM-GCL
Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
contrastive-learning graph-contrastive-learning multi-modal-learning graph-self-supervised-learning imbalance-learning node-classification imbalanced-node-classification
Language:Python 17
kunzhan / M-ILBO
ACM MM 2023 (Oral): Entropy neural estimation for graph contrastive learning
contrastive-learning graph-contrastive-learning acm-mm-2023 ilbo
Language:Python 17
tengxiao1 / GraphACL
GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
graph-contrastive-learning heterophily-graph
Language:Python 16
CRIPAC-DIG / GETRAL
The source code of "Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks
adversarial-learning evidence-based fake-news-detection graph-contrastive-learning semantic-learning
Language:Python 14
EdisonLeeeee / SpikeGCL
[ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)
graph-contrastive-learning graph-neural-networks iclr spiking-neural-networks
Language:Python 12
CRIPAC-DIG / AUG-MAE
Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.
graph-contrastive-learning self-supervised-learning
Language:Python 7
ImMohammadHosseini / HeCo
:sparkles: Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
graph-attention-model graph-contrastive-learning graph-embeddings graph-neural-networks heterogeneous-graph node-embeddings heterogeneous-graph-neural-network heterogeneous-information-networks
Language:Python 6
mala-lab / AUGCL
Official code for TNNLS paper "Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning"
contrastive-learning graph-contrastive-learning graph-learning graph-neural-networks hard-negative-mining uncertainty-estimation
Language:Python 3
kaddly / MoGCL
Momentum Graph Contrastive Learning
graph-contrastive-learning graph-embedding graph-neural-networks
Language:Python 1
XsLangley / Violin
This is the code repo for Violin, an IJCAI 2023 paper.
gnn gnns graph graph-contrastive-learning graph-neural-network graph-representation-learning node-classificaiton semi-supervised-learning
Language:Python 0
ImMohammadHosseini / self-supervized-graph-embeddings
contrastive-learning embeddings graph-contrastive-learning graph-embedding graph-neural-networks
qinjisheng / qinjisheng.github.io
action-recognition graph-neural-networks graph-contrastive-learning
Language:CSS
qinjisheng / Reading-List-for-Action-Recognition
The repository contains a reading list for action recognition.
action-recognition graph graph-contrastive-learning graph-convolutional-neural-networks graph-neural-networks skeleton-based-action-recognition
qinjisheng / Reading-List-for-Graph-Neural-Networks
The repository contains a reading list for graph learning.
deep-learning graph graph-neural-networks graph-contrastive-learning