nghiahhnguyen / CS224W-StanfordLinks
This is the repository containing the solution of the homework for the CS224W course at Stanford: Machine Learning with Graphs
☆11Updated 4 years ago
Alternatives and similar repositories for CS224W-Stanford
Users that are interested in CS224W-Stanford are comparing it to the libraries listed below
Sorting:
- Bags of Tricks in OGB (node classification) with GCNs.☆37Updated 3 years ago
- ☆37Updated 3 years ago
- ☆21Updated last year
- ☆17Updated 3 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated 5 months ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆42Updated 4 years ago
- Generating PGM Explanation for GNN predictions☆75Updated last year
- ☆31Updated 2 years ago
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 3 years ago
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 4 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"☆42Updated 4 years ago
- PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"☆27Updated 4 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- ☆15Updated 3 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- ☆19Updated 3 years ago
- ☆51Updated 3 years ago
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆12Updated 2 years ago
- Deep Multi-Graph Clustering via Attentive Cross-Graph Association☆24Updated 5 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Maskin…☆45Updated 4 years ago
- TensorFlow 2.0 implementation of MNIST classification using Graph Convolutional Network☆17Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆37Updated 2 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago