epfl-lts2 / GraphMining-TheWebConf2021Links
☆14Updated 4 years ago
Alternatives and similar repositories for GraphMining-TheWebConf2021
Users that are interested in GraphMining-TheWebConf2021 are comparing it to the libraries listed below
Sorting:
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆62Updated 5 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 3 years ago
- ☆30Updated 4 years ago
- ☆11Updated 2 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆35Updated 3 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 4 years ago
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader☆25Updated 2 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- ☆50Updated 2 years ago
- List of Publications in Graph Contrastive Learning☆35Updated 3 years ago
- ☆21Updated last year
- The AutoPath pipeline for similarity modeling on heterogeneous networks with automatic path discovery☆11Updated 5 years ago
- Explainable recommendation via interpretable feature mapping☆18Updated 5 years ago
- Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference☆20Updated 5 years ago
- Task-Guided Pair Embedding in Heterogeneous Network (CIKM 2019)☆12Updated 3 years ago
- Implementation of KDD21 paper Causal Understanding of Fake News Dissemination on Social Media☆23Updated 3 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 3 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- A curated list of awesome graph representation learning.☆69Updated 4 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- ☆19Updated 10 months ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”☆12Updated 3 years ago
- Bringing node2vec and word2vec together for cool stuff☆22Updated 5 years ago
- ☆21Updated 3 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- tNodeEmbed☆79Updated 2 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 10 months ago
- ☆16Updated 2 years ago