Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
☆89Feb 27, 2021Updated 5 years ago
Alternatives and similar repositories for L2P-GNN
Users that are interested in L2P-GNN are comparing it to the libraries listed below
Sorting:
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Jul 6, 2023Updated 2 years ago
- ☆21Jun 15, 2021Updated 4 years ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆23Oct 21, 2021Updated 4 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Jun 10, 2021Updated 4 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆498Jul 25, 2024Updated last year
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆625Jul 17, 2024Updated last year
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆20Apr 24, 2023Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,715Feb 2, 2024Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Oct 21, 2020Updated 5 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆347Apr 25, 2024Updated last year
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Oct 11, 2022Updated 3 years ago
- ☆275Jun 22, 2022Updated 3 years ago
- The source will be uploaded recently☆14Aug 3, 2020Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118May 5, 2020Updated 5 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆122Aug 3, 2022Updated 3 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆958Feb 17, 2026Updated last month
- Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"☆17Mar 20, 2019Updated 7 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Jul 6, 2023Updated 2 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆35Mar 3, 2021Updated 5 years ago
- Strategies for Pre-training Graph Neural Networks☆1,054Jul 29, 2023Updated 2 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Jun 13, 2022Updated 3 years ago
- [SDM22] PyTorch implementation for "Neural Graph Matching for Pre-training Graph Neural Networks".☆17Apr 5, 2022Updated 3 years ago
- ☆11Jan 24, 2021Updated 5 years ago
- Neural Dynamics on Complex Networks☆55Sep 24, 2020Updated 5 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Jul 25, 2022Updated 3 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆63Jan 3, 2022Updated 4 years ago
- ☆23Aug 29, 2023Updated 2 years ago
- ☆46Nov 17, 2021Updated 4 years ago
- Heterogeneous Information Network Datasets for Recommendation and Network Embedding☆349Dec 24, 2019Updated 6 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Aug 2, 2023Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Nov 24, 2020Updated 5 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆46Feb 4, 2022Updated 4 years ago
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆126Dec 8, 2022Updated 3 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆56Oct 11, 2021Updated 4 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Nov 3, 2020Updated 5 years ago
- ☆26Dec 5, 2022Updated 3 years ago
- Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"☆70May 5, 2019Updated 6 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Feb 2, 2023Updated 3 years ago
- A curator of Sequential Recommendation algorithms☆20Oct 15, 2020Updated 5 years ago