hdvvip / CS224W_Winter2021Links
CS224W Stanford Winter 2021 Homework solutions
☆197Updated 3 years ago
Alternatives and similar repositories for CS224W_Winter2021
Users that are interested in CS224W_Winter2021 are comparing it to the libraries listed below
Sorting:
- Solutions for CS224W Winter 2021 Colab☆167Updated last year
- CS224W Course Notes☆308Updated 4 years ago
- cs224w(图机器学习)2021冬季课程的colab☆238Updated 4 years ago
- A curated list of graph data augmentation papers.☆311Updated last year
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- My approach to CS224w [AT] Stanford 2019 : )☆124Updated 4 years ago
- Bag of Tricks for Graph Neural Networks.☆297Updated 11 months ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆262Updated 7 months ago
- Papers about explainability of GNNs☆744Updated 2 months ago
- ☆327Updated 11 months ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆424Updated 4 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆299Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆200Updated 4 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆412Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated last year
- Graph Neural Network Tutorial☆189Updated 5 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆327Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 3 months ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆494Updated 11 months ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆235Updated 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
- Schedule for learning on graphs seminar☆109Updated last year
- Papers about graph transformers.☆894Updated 3 months ago
- Representation learning on dynamic graphs using self-attention networks☆296Updated 2 years ago
- A collection of resources on attention-based graph neural networks☆76Updated last year
- An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.☆61Updated 5 years ago
- ☆115Updated last year