linkedin / PASS-GNNLinks
☆39Updated 3 years ago
Alternatives and similar repositories for PASS-GNN
Users that are interested in PASS-GNN are comparing it to the libraries listed below
Sorting:
- ☆176Updated last year
- Library that contains implementations of machine learning components in the hyperbolic space☆141Updated last year
- Scalable and privacy-enhanced graph generative models for benchmark graph neural networks☆17Updated last year
- ☆122Updated last year
- Graph Data Augmentation Library for PyTorch Geometric☆132Updated 3 years ago
- [ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution an…☆55Updated 2 years ago
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆340Updated 2 years ago
- RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems☆121Updated 3 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆135Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- Implicit Graph Neural Networks☆62Updated 3 years ago
- Official Pytorch Implementation of GraphiT☆109Updated 4 years ago
- API for accessing the GraphLog dataset☆90Updated last year
- (Personalized) Page-Rank computation using PyTorch☆92Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆95Updated 3 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆289Updated 4 years ago
- ☆163Updated 2 years ago
- A research library for automating experiments on Deep Graph Networks☆223Updated 3 weeks ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆164Updated 3 years ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆430Updated this week
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆125Updated last year
- A PyTorch Graph Neural Network Library☆375Updated 3 years ago
- ☆14Updated 4 years ago
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆130Updated 9 months ago
- Hyperbolic Graph Neural Networks☆239Updated 5 years ago
- Temporal Graph Benchmark project repo☆236Updated last month
- RelBench: Relational Deep Learning Benchmark☆285Updated last week
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Low-Level Graph Neural Network Operators for PyG☆211Updated this week
- Python library assists deep learning on graphs☆565Updated last year