acbull / GPT-GNNLinks
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
☆496Updated last year
Alternatives and similar repositories for GPT-GNN
Users that are interested in GPT-GNN are comparing it to the libraries listed below
Sorting:
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆330Updated 2 years ago
- Source code of Graph-Bert☆506Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆659Updated 3 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated last year
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆474Updated 2 years ago
- ☆302Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆879Updated last year
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆260Updated 4 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆240Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆398Updated last year
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆338Updated last year
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆431Updated 5 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆657Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 11 months ago
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆631Updated last year
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆233Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆500Updated 3 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆357Updated 5 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆487Updated 6 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆336Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆300Updated 2 years ago
- Distance Encoding for GNN Design☆188Updated 4 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆677Updated 3 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Pytorch implementation of a RGCN Link Prediction Model☆263Updated 4 years ago
- Representation-Learning-on-Heterogeneous-Graph☆445Updated 5 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆298Updated 2 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆618Updated last year