lt610 / DeeperGNNSLinks
DGL implementation of some deep GNNs
☆10Updated 4 years ago
Alternatives and similar repositories for DeeperGNNS
Users that are interested in DeeperGNNS are comparing it to the libraries listed below
Sorting:
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆38Updated 6 years ago
- IJCAI2020☆20Updated 4 years ago
- ☆15Updated 5 years ago
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆53Updated 4 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆150Updated 2 years ago
- data set for node classification task☆14Updated 5 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆46Updated 3 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆119Updated 3 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- The source code of HeCo☆168Updated 3 years ago
- Datasets-for-Heterogeneous-Graph☆135Updated 6 years ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆85Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- A PyTorch implementation of the LINE paper.☆49Updated 3 months ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- [WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization☆77Updated 4 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆116Updated 4 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆182Updated last year
- Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"☆25Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Updated 4 years ago
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆22Updated 3 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆233Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Updated last year
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆137Updated 3 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Updated 3 years ago
- ☆139Updated 2 years ago
- Btech S8 Main Project☆24Updated 6 years ago
- Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".☆13Updated 4 years ago