snap-stanford / relbenchLinks
RelBench: Relational Deep Learning Benchmark
☆341Updated last week
Alternatives and similar repositories for relbench
Users that are interested in relbench are comparing it to the libraries listed below
Sorting:
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆149Updated last year
- Temporal Graph Benchmark project repo☆246Updated 4 months ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆452Updated last month
- ☆169Updated last year
- A foundation model for knowledge graph reasoning☆595Updated last year
- ☆44Updated last year
- Tabular Deep Learning Library for PyTorch☆765Updated last week
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆205Updated last year
- Exphormer: Sparse Transformer for Graphs☆186Updated last year
- Accompanied repositories for our paper Graph foundation model☆232Updated last year
- ☆217Updated 2 years ago
- ☆40Updated last year
- ☆179Updated 2 years ago
- List of papers on ICML2023.☆55Updated 2 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆83Updated 2 years ago
- A collection of resources on the topic of Complex Logical Query Answering☆179Updated 2 years ago
- Relational Graph Transformer☆60Updated 7 months ago
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆233Updated last year
- Low-Level Graph Neural Network Operators for PyG☆221Updated last week
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆163Updated 2 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago
- Graph Self-Supervised Learning Toolkit☆44Updated 7 months ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆66Updated 9 months ago
- GiGL is an open-source library for training and inference of Graph Neural Networks at very large (billion) scale.☆58Updated 3 months ago
- ☆91Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆91Updated 2 years ago
- List of papers on NeurIPS2023☆90Updated 2 years ago
- TGB baselines for dynamic link property prediction☆23Updated last year
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆75Updated 3 years ago
- Official implementation of A* Networks☆153Updated 2 years ago