graph-self-supervised-learning

Here are 12 public repositories matching this topic...

ChandlerBang / awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

machine-learning deep-learning graph-mining graph-neural-networks self-supervised-learning pre-training pretraining graph-self-supervised-learning

Updated Feb 2, 2024
Python

junxia97 / SimGRACE

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[WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"

graph-neural-networks pretraining graph-contrastive-learning molecular-representation-learning graph-self-supervised-learning

Updated Jun 13, 2022
Python

KimMeen / SL-GAD

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[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".

anomaly-detection graph-neural-networks contrastive-learning graph-self-supervised-learning graph-anomaly-detection

Updated Oct 8, 2021
Python

junxia97 / ProGCL

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[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"

graph-neural-networks hard-negative-mining contrastive-learning graph-self-supervised-learning icml-2022

Updated Jun 13, 2022
Python

TrustAGI-Lab / MERIT

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[IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".

graph-neural-networks graph-representation-learning graph-self-supervised-learning self-supervised-distillation

Updated Oct 13, 2022
Python

tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily

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Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily

self-supervised-learning contrastive-learning heterophily graph-contrastive-learning graph-self-supervised-learning heterophily-graph

Updated Nov 2, 2023

LirongWu / GraphMixup

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Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"

reinforcement-learning graph-algorithms imbalanced-data imbalanced-classification graph-self-supervised-learning

Updated Jun 7, 2023
Python

graphprojects / CM-GCL

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Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”

node-classification imbalance-learning multi-modal-learning contrastive-learning graph-contrastive-learning graph-self-supervised-learning imbalanced-node-classification

Updated Jan 15, 2023
Python

LirongWu / L2A

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Code for ECML-PKDD 2023 paper "Learning to Augment Graph Structure for both Homophily and Heterophily Graphs"

semi-supervised-learning node-classification graph-augmentation graph-self-supervised-learning heterophily-graph

Updated Feb 27, 2024
Python

Deceptrax123 / JPEB-GSSL

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[Preprint]Official Code of our paper Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning

graph-neural-networks self-supervised-learning graph-self-supervised-learning

Updated Aug 24, 2025
Python

tjogzt / graphssl-multicancer-gfm

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GraphSSL-MultiCancer-GFM: Graph Self-Supervised Pretraining on 20 Cancers (TCGA/METABRIC) with ESM-2 Protein LM. Cell Reports Methods (Methods Track) Reproduction Package. FDA Schuirmann-1987 TOST Δ₀=0.002 EQUIVALENT.