mwcvitkovic / Supervised-Learning-on-Relational-Databases-with-GNNs
Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.
☆62Updated 5 years ago
Alternatives and similar repositories for Supervised-Learning-on-Relational-Databases-with-GNNs:
Users that are interested in Supervised-Learning-on-Relational-Databases-with-GNNs are comparing it to the libraries listed below
- ☆49Updated 3 years ago
- ☆38Updated 8 months ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆133Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- ☆30Updated 2 years ago
- ☆170Updated 10 months ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆71Updated 4 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆73Updated 2 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Updated last year
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader☆25Updated 2 years ago
- PiRank: Learning to Rank via Differentiable Sorting☆60Updated 2 years ago
- Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks☆55Updated 3 years ago
- Subgraph Based Learning of Contextual Embedding☆29Updated 3 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 4 years ago
- Dynamic Graph Benchmark☆77Updated 2 years ago
- PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"☆26Updated 4 years ago
- ☆50Updated 2 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- ☆21Updated last year
- ☆14Updated 4 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 4 years ago
- ☆94Updated 2 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆27Updated last year
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆37Updated 2 years ago