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.
☆61Updated 4 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
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- ☆48Updated 3 years ago
- ☆169Updated 7 months ago
- ☆30Updated last year
- ☆31Updated 5 months ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- ☆14Updated 3 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆132Updated 2 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- PiRank: Learning to Rank via Differentiable Sorting☆60Updated last year
- ☆50Updated last year
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- Official Pytorch Implementation of GraphiT☆107Updated 3 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆127Updated 2 years ago
- Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks☆54Updated 3 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022☆68Updated last year
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆162Updated 2 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago
- ☆92Updated last year
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 5 months ago
- Subgraph Based Learning of Contextual Embedding☆29Updated 3 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆65Updated 2 years ago
- ☆21Updated last year
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- ☆18Updated 2 years ago
- An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.☆61Updated 4 years ago
- ☆26Updated 3 years ago
- Repository for Multimodal AutoML Benchmark☆62Updated 3 years ago