zwt233 / AIR
☆4Updated 2 years ago
Alternatives and similar repositories for AIR:
Users that are interested in AIR are comparing it to the libraries listed below
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆20Updated 2 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Updated 3 years ago
- ☆18Updated 2 years ago
- A collection of graph contrastive learning methods.☆18Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 3 years ago
- [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks☆30Updated 3 years ago
- ☆12Updated 3 years ago
- ☆10Updated 3 years ago
- Deeper insights into graph convolutional networks for semi-supervised learning☆19Updated 6 years ago
- ☆37Updated 3 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 3 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆61Updated 2 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated 3 weeks ago
- ☆76Updated 3 years ago
- Pairwise learning neural link prediction for ogb link prediction☆39Updated 2 years ago
- the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)☆13Updated last year
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 2 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆31Updated 5 years ago
- Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”☆11Updated 2 years ago
- A Unified View on Graph Neural Networks as Graph Signal Denoising☆9Updated 3 years ago
- The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …☆74Updated 3 years ago
- ☆19Updated 2 years ago
- Advancing GraphSAGE with A Data-driven Node Sampling☆26Updated 2 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 6 months ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- [WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks☆42Updated 3 years ago