mberr / torch-max-mem
Decorators for maximizing memory utilization with PyTorch & CUDA
☆16Updated 2 months ago
Alternatives and similar repositories for torch-max-mem:
Users that are interested in torch-max-mem are comparing it to the libraries listed below
- 🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings☆25Updated 11 months ago
- Graph Positional and Structural Encoder☆46Updated 2 months ago
- Multimodal Transformers for biomedical text and Knowledge Graph data☆34Updated 2 years ago
- Improving Inductive Link Prediction Using Hyper-Relational Facts☆14Updated 2 years ago
- 🏅 KG Inductive Link Prediction Challenge (ILPC) 2022☆84Updated 3 years ago
- Using pretrained language models for biomedical knowledge graph completion.☆46Updated 3 years ago
- ☆18Updated 8 months ago
- 📐 Results for the Ranking Metrics submission @ GLB 2022☆11Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Embedding graphs in symmetric spaces☆30Updated 3 years ago
- Graph Transformers for Large Graphs☆21Updated 11 months ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Updated last year
- Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Fra…☆32Updated 3 years ago
- Taxonomy of Benchmarks in Graph Representation Learning☆19Updated 2 years ago
- 📊 Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Know…☆35Updated 2 years ago
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆24Updated 8 months ago
- (Personalized) Page-Rank computation using PyTorch☆88Updated 2 years ago
- A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs☆13Updated last year
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated 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
- Code for the paper "Query Embedding on Hyper-relational Knowledge Graphs"☆31Updated 11 months ago
- ☆34Updated 3 years ago
- Graph Self-Supervised Learning Toolkit☆31Updated last month
- 👜 Easily pick a place to store data for your Python code.☆36Updated 2 months ago
- Replication attempt for the Protein Folding Model described in https://www.biorxiv.org/content/10.1101/2021.08.02.454840v1☆37Updated 2 years ago
- ☆29Updated 2 years ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Updated last year
- 🔍 Lookup classes and instantiate them with style☆64Updated 5 months ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated 9 months ago
- CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction (arXiv 22)☆13Updated 2 years ago