acbull / GPT-GNNLinks
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
☆494Updated 11 months ago
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☆328Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆644Updated 2 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆235Updated 2 years ago
- Source code of Graph-Bert☆496Updated last year
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆318Updated last year
- ☆300Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆848Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆489Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆209Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆353Updated 5 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆596Updated 11 months ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆422Updated 4 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆629Updated 11 months ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- Distance Encoding for GNN Design☆186Updated 4 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆325Updated last year
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆299Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆230Updated last year
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆620Updated 11 months ago
- Strategies for Pre-training Graph Neural Networks☆1,022Updated last year
- Representation learning on dynamic graphs using self-attention networks☆296Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 7 months ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆289Updated 4 years ago