ZhaoYuTJPU / MSSGCL
the source code of IJCAI 2023 paper "Multi-Scale subgraph contrastive learning"
☆10Updated last year
Alternatives and similar repositories for MSSGCL:
Users that are interested in MSSGCL are comparing it to the libraries listed below
- codes of LEGNN for Semi-supervised Node Classification☆12Updated 2 years ago
- ☆33Updated last year
- ☆22Updated 4 months ago
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆34Updated 7 months ago
- Heterogeneous Graph Contrastive Multi-view Learning, SDM 23☆20Updated last year
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 9 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated 2 years ago
- ☆14Updated last year
- Source code for AAAI2023 "T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillatio…☆13Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- NeurIPS 2022 - SHGP☆30Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆29Updated 8 months ago
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆17Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆27Updated last year
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆36Updated last year
- The source code of SpCo☆33Updated last year
- The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.☆39Updated 2 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆37Updated last year
- Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023☆18Updated 10 months ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆30Updated 11 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 3 months ago
- ☆37Updated 3 years ago
- The implementation for DropMessage.☆36Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆23Updated 11 months ago
- MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks☆21Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆44Updated last year