mengliu1998 / awesome-deep-gnnLinks
Papers about developing deep Graph Neural Networks (GNNs)
☆299Updated 2 years ago
Alternatives and similar repositories for awesome-deep-gnn
Users that are interested in awesome-deep-gnn are comparing it to the libraries listed below
Sorting:
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆320Updated last year
- 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 "Simple and Deep Graph Convolutional Networks"☆356Updated 5 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆299Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆333Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆473Updated 2 years ago
- ☆301Updated 3 years ago
- Bag of Tricks for Graph Neural Networks.☆298Updated last year
- ☆272Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆328Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆231Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆482Updated 6 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆354Updated 3 months ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆605Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆471Updated 2 years ago
- ☆136Updated 2 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆238Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆137Updated 3 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆497Updated last year
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆259Updated 4 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 9 months ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Updated 2 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆273Updated 6 months ago