snap-stanford / relbench
RelBench: Relational Deep Learning Benchmark
☆242Updated 2 months ago
Alternatives and similar repositories for relbench:
Users that are interested in relbench are comparing it to the libraries listed below
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆120Updated last week
- Temporal Graph Benchmark project repo☆209Updated last month
- ☆173Updated last year
- ☆130Updated 5 months ago
- A foundation model for knowledge graph reasoning☆507Updated last week
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆182Updated 8 months ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆395Updated this week
- Tabular Deep Learning Library for PyTorch☆611Updated this week
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆90Updated last year
- Exphormer: Sparse Transformer for Graphs☆167Updated 11 months ago
- Low-Level Graph Neural Network Operators for PyG☆179Updated this week
- ☆198Updated last year
- ☆83Updated last year
- ☆79Updated 2 years ago
- TGB baselines for dynamic link property prediction☆21Updated last month
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆188Updated 3 months ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆156Updated last year
- ☆163Updated 2 years ago
- A collection of resources on the topic of Complex Logical Query Answering☆169Updated last year
- Accompanied repositories for our paper Graph foundation model☆175Updated 3 months ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆216Updated last year
- ☆31Updated 6 months ago
- ☆132Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆126Updated last year
- here you can find the material used for our Tutorials☆100Updated 3 years ago
- ☆116Updated last year
- Official implementation of A* Networks☆140Updated last year
- Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆205Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆78Updated last year
- List of papers on ICML2023.☆55Updated last year