yzjiao / Subg-ConView external linksLinks
Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
☆46Feb 4, 2022Updated 4 years ago
Alternatives and similar repositories for Subg-Con
Users that are interested in Subg-Con are comparing it to the libraries listed below
Sorting:
- ☆276Jun 22, 2022Updated 3 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆620Jul 17, 2024Updated last year
- The implementation of "Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network".☆22Apr 17, 2023Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Jul 6, 2023Updated 2 years ago
- ☆13Aug 21, 2022Updated 3 years ago
- The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions (EMNLP 2023))☆13Dec 21, 2023Updated 2 years ago
- [CIKM-21] Pytorch implementation of LiteGT: Efficient and Lightweight Graph Transformers☆12Nov 16, 2021Updated 4 years ago
- "Explainable classification of brain networks via contrast subgraphs" - T. Lanciano, F. Bonchi, A. Gionis☆20Mar 23, 2022Updated 3 years ago
- official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"☆43Feb 18, 2022Updated 3 years ago
- The implementation of “Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns”☆11Nov 27, 2024Updated last year
- Pytorch implementation of XGNN☆10Jan 20, 2021Updated 5 years ago
- The implementation of “Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns”☆18Jun 18, 2024Updated last year
- ☆12Feb 9, 2023Updated 3 years ago
- A curated list for awesome self-supervised learning for graphs.☆388Oct 25, 2022Updated 3 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Mar 6, 2023Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,711Feb 2, 2024Updated 2 years ago
- ☆34Aug 23, 2024Updated last year
- Multi-center and Multi-channel Pooling Graph Convolutional Network☆17Jul 16, 2022Updated 3 years ago
- ☆16May 27, 2021Updated 4 years ago
- ☆14Apr 11, 2021Updated 4 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Nov 30, 2021Updated 4 years ago
- Pytorch Implementation of LoG 22 [Oral] -- Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification☆17May 31, 2023Updated 2 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆64Mar 8, 2023Updated 2 years ago
- Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22☆17Jun 30, 2022Updated 3 years ago
- A curated list of awesome graph structure learning approaches☆38Nov 24, 2024Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆957Jul 11, 2024Updated last year
- This repository is the official implementation of Online Influence Maximization under Linear Threshold Model.☆15Oct 22, 2020Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Jun 21, 2020Updated 5 years ago
- ☆18May 3, 2024Updated last year
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Apr 7, 2023Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Dec 18, 2023Updated 2 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Jul 25, 2022Updated 3 years ago
- Official Implementation for "Scaling Attributed Network Embedding to Massive Graphs"☆18Jan 30, 2024Updated 2 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 5 years ago
- ☆18Mar 28, 2022Updated 3 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Jun 9, 2021Updated 4 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Jun 13, 2022Updated 3 years ago
- Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks☆52Apr 9, 2021Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆343Apr 25, 2024Updated last year