Alternatives and similar repositories for Awesome-Flow-Matching-Meets-Biology

Users that are interested in Awesome-Flow-Matching-Meets-Biology are comparing it to the libraries listed below

• Graph-COM / GSAT
  [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
  ☆173Updated last year
• KatarinaYuan / awesome-single-cell-foundation
  Paper collection for single cell foundation models
  ☆35Updated last year
• HelloWorldLTY / MuSe-GNN
  [NeurIPS 2023] Official codes of "MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data"
  ☆30Updated 7 months ago
• Graph-and-Geometric-Learning / D4Explainer
  Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"
  ☆23Updated 2 years ago
• iDEA-iSAIL-Lab-UIUC / pyg-ssl
  Graph Self-Supervised Learning Toolkit
  ☆43Updated 7 months ago
• uhlerlab / discrepancy_vae
  code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions
  ☆15Updated 2 years ago
• divelab / GOOD
  GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
  ☆205Updated 11 months ago
• Graph-COM / Pair-Align
  [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)
  ☆14Updated last year
• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆28Updated last year
• OmicsML / dance
  DANCE: a deep learning library and benchmark platform for single-cell analysis
  ☆384Updated last week
• cedricvincentcuaz / GDL
  Code for Online Graph Dictionary Learning
  ☆18Updated 3 years ago
• CurryTang / Towards-graph-foundation-models
  ☆91Updated 2 years ago
• azminewasi / Awesome-Graph-Research-ICLR2024
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆101Updated last year
• qkrdmsghk / GOODHSE
  [CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments
  ☆13Updated 9 months ago
• azminewasi / Awesome-Graph-Research-ICML2024
  All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
  ☆233Updated last year
• Lucius-lsr / AdapterGNN
  ☆32Updated last year
• KrishnaswamyLab / MIOFlow
  ☆34Updated 3 months ago
• Shen-Lab / GDA-SpecReg
  [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆23Updated 2 years ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆168Updated 2 years ago
• mengliu1998 / DL4DisassortativeGraphs
  Papers about developing DL methods on disassortative graphs
  ☆48Updated 3 years ago
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆50Updated last year
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆205Updated last year
• AgatheSenellart / MultiVae
  Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch
  ☆64Updated last week
• luoyuanlab / SHINE
  NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork
  ☆19Updated 2 years ago
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆90Updated last year
• batmen-lab / diamond
  Error-controlled interaction discovery in machine learning models
  ☆23Updated 7 months ago
• DongqiFu / DPPIN
  DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
  ☆32Updated 2 years ago
• Juanhui28 / HeaRT
  ☆60Updated last year
• melifluos / subgraph-sketching
  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
  ☆99Updated 2 years ago
• carpenter-singh-lab / 2024_Arevalo_NeurIPS_MotiVE
  ☆20Updated 2 weeks ago