ljatynu / NIMCGCNView external linksLinks
☆26Dec 5, 2022Updated 3 years ago
Alternatives and similar repositories for NIMCGCN
Users that are interested in NIMCGCN are comparing it to the libraries listed below
Sorting:
- ☆18May 24, 2018Updated 7 years ago
- Inferring disease-associated miRNAs☆10Mar 21, 2020Updated 5 years ago
- ☆11Aug 30, 2021Updated 4 years ago
- Prediction of lncRNA-disease associations based on inductive matrix completion☆21Dec 13, 2018Updated 7 years ago
- ☆10Jul 21, 2022Updated 3 years ago
- PGCN: Disease gene prioritization by disease and gene embedding through GCN☆79Apr 1, 2024Updated last year
- MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction☆16Nov 24, 2024Updated last year
- A Graph Regularized Generalized Matrix Factorization Model for Predicting Links in Biomedical Bipartite Networks☆17Mar 13, 2020Updated 5 years ago
- MMGCN:Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆20Apr 7, 2021Updated 4 years ago
- this is the source code and data☆19Jan 25, 2019Updated 7 years ago
- Heterogeneous disease-gene-related☆20Aug 3, 2021Updated 4 years ago
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆55Feb 24, 2023Updated 2 years ago
- ☆20Nov 30, 2021Updated 4 years ago
- NRLMFβ: Bata-distribution-rescored Neighborhood Regularized Logistic Matrix Factorization for Improving Performance of Drug–Target Intera…☆11Oct 12, 2021Updated 4 years ago
- ☆24Dec 19, 2016Updated 9 years ago
- A deep learning framework for predicting lncRNA–disease associations☆10Dec 29, 2020Updated 5 years ago
- Gene Disease Association Prediction Base On Graph Convolutional Networks☆10May 23, 2019Updated 6 years ago
- BNNR is a novel computational method, which utilizes Bounded Nuclear Norm Regularization algorithm to identify potential novel indication…☆12Jul 21, 2022Updated 3 years ago
- ☆11Nov 8, 2021Updated 4 years ago
- ☆12May 31, 2024Updated last year
- A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction☆23Mar 1, 2023Updated 2 years ago
- bioinformatics,miRNA, circRNA, lncRNA, microbe, protein, drug, disease, virus☆31Sep 11, 2025Updated 5 months ago
- ☆14Apr 10, 2024Updated last year
- KGANCDA is effective to predict associations between circRNA and cancer, which is based on knowledge graph attention network. The detail …☆13Dec 12, 2022Updated 3 years ago
- ☆33May 16, 2018Updated 7 years ago
- LDAformer: Predicting lncRNA-disease associations based on topological feature extraction and Transformer encoder☆13Feb 26, 2023Updated 2 years ago
- Second-Order Pooling for Graph Neural Networks☆16Jun 4, 2020Updated 5 years ago
- ☆57Jul 29, 2019Updated 6 years ago
- Maps symptom and disease terms to MeSH IDs☆19May 14, 2015Updated 10 years ago
- Source code and supplementary materials for paper "Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Ass…☆17May 2, 2023Updated 2 years ago
- Neural Recommender System from "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"☆17Mar 20, 2019Updated 6 years ago
- A disease gene prediction algorithm based on multimodel deep belief net☆16Apr 6, 2023Updated 2 years ago
- Yet Another GraphSage Implementation in TensorFlow2☆19Mar 13, 2020Updated 5 years ago
- [WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks☆46Oct 11, 2021Updated 4 years ago
- This is the repository for DeepHost, a phage host prediction tool.☆20Dec 12, 2024Updated last year
- Algorithms for prediction of drug-target interactions via computational (chemogenomic) methods☆48Apr 26, 2019Updated 6 years ago
- NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions☆77May 13, 2021Updated 4 years ago
- TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)☆25Dec 2, 2022Updated 3 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆31Sep 27, 2021Updated 4 years ago