tadpole / AutoNE
The Implementation of "AutoNE: Hyperparameter Optimization for Massive Network Embedding"(KDD 2019)
☆17Updated last year
Alternatives and similar repositories for AutoNE:
Users that are interested in AutoNE are comparing it to the libraries listed below
- [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks☆30Updated 3 years ago
- Pairwise learning neural link prediction for ogb link prediction☆41Updated 2 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated 2 months ago
- Code for our TKDE paper "Understanding WeChat User Preferences and “Wow” Diffusion"☆20Updated 7 months ago
- PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"☆26Updated 4 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆71Updated 4 years ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆22Updated 3 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆37Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆112Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 8 months ago
- ☆15Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- ☆37Updated 3 years ago
- Active Learning for Graph Embedding☆32Updated 7 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
- Node Dependent Local Smoothing for Scalable Graph Learning (NeurIPS'21, Spotlight)☆21Updated 3 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Updated 3 years ago
- This repo is for source code of KDD 2021 paper "Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning".☆27Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆61Updated 2 years ago
- ☆12Updated 4 years ago
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆38Updated 6 years ago
- ☆18Updated 3 years ago
- Source code for AAAI 2019 paper "Hyperbolic Heterogeneous Information Network Embedding"☆24Updated 3 years ago
- ☆10Updated 3 years ago
- ☆20Updated 4 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Updated 3 years ago
- Daily reading group on graphs at KEG☆44Updated 5 years ago
- This is the implementation and supplemental materials for paper "Deep Multi-attributed Graph Translation with Node-Edge Co-evolution"☆17Updated 5 years ago