snap-stanford / cs224w-notes
CS224W Course Notes
☆299Updated 3 years ago
Alternatives and similar repositories for cs224w-notes:
Users that are interested in cs224w-notes are comparing it to the libraries listed below
- CS224W Stanford Winter 2021 Homework solutions☆197Updated 2 years ago
- A curated list for awesome self-supervised learning for graphs.☆380Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆391Updated 7 months ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆315Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated last month
- My approach to CS224w [AT] Stanford 2019 : )☆125Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆634Updated 2 years ago
- A curated list of graph data augmentation papers.☆304Updated 9 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated last year
- Strategies for Pre-training Graph Neural Networks☆980Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆268Updated last year
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆230Updated last year
- Materials for DGL hands-on tutorial in WWW 2020☆502Updated 3 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆373Updated 6 months ago
- Representation learning on dynamic graphs using self-attention networks☆287Updated last year
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆226Updated last year
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆491Updated 6 months ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆345Updated 2 years ago
- Bag of Tricks for Graph Neural Networks.☆289Updated 6 months ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- Distance Encoding for GNN Design☆187Updated 3 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆325Updated last year
- Python library assists deep learning on graphs☆555Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆477Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆660Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆604Updated 6 months ago
- Hierarchical Graph Pooling with Structure Learning☆335Updated 3 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆184Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆291Updated last year
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago