LFhase / Learning_CS224w
My approach to CS224w [AT] Stanford 2019 : )
☆124Updated 4 years ago
Alternatives and similar repositories for Learning_CS224w
Users that are interested in Learning_CS224w are comparing it to the libraries listed below
Sorting:
- CS224W Stanford Winter 2021 Homework solutions☆196Updated 3 years ago
- CS224W Course Notes☆304Updated 4 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- Solutions for CS224W Winter 2021 Colab☆162Updated 10 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆303Updated 2 years ago
- Graph Neural Network☆266Updated 3 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- CS224W-Chinese-Notes CS224W中文笔记☆61Updated 2 years ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- A curated list of awesome graph representation learning.☆69Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆296Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 5 months ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- ☆96Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- ☆172Updated 5 years ago
- cs224w(图机器学习)2021冬季课程的colab☆237Updated 3 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆227Updated last year
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆234Updated last year
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆288Updated 4 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆192Updated last year
- Bag of Tricks for Graph Neural Networks.☆293Updated 9 months ago
- ☆170Updated 11 months ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆326Updated last year
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆45Updated last year
- An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.☆61Updated 4 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆503Updated 3 years ago