amazon-science / LC-PLM
LC-PLM: long-context protein language model based on BiMamba-S architecture
☆10Updated 2 weeks ago
Alternatives and similar repositories for LC-PLM:
Users that are interested in LC-PLM are comparing it to the libraries listed below
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆42Updated 5 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆65Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆75Updated last year
- Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex intern…☆108Updated 4 months ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆41Updated 9 months ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- [ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions …☆24Updated 11 months ago
- ☆29Updated last year
- Locally Valid and Discriminative Prediction Intervals for Deep Learning Models☆13Updated last year
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆41Updated 2 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆24Updated 3 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Source code for a comprehensive analysis of MTL over EHR timeseries data.☆37Updated last year
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆51Updated 10 months ago
- Dynamic Graph Benchmark☆71Updated last year
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆42Updated 4 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- ☆19Updated 2 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated last year
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 2 years ago
- Graph Positional and Structural Encoder☆44Updated 2 months ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆63Updated 2 years ago
- Stable Differentiable Causal Discovery (SDCD)☆18Updated 7 months ago
- Graph Self-Supervised Learning Toolkit☆17Updated 2 weeks ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆27Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆31Updated 3 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆29Updated 2 years ago