Zhankun-Xiong / MRCGNN
Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Event Prediction"
☆15Updated last month
Alternatives and similar repositories for MRCGNN:
Users that are interested in MRCGNN are comparing it to the libraries listed below
- ☆27Updated 3 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆43Updated 3 years ago
- The official codes and implementations of HimGNN model in paper:"HimGNN:a novel hierarchical molecular representations learning framewor…☆17Updated last year
- A Network Integration Approach for Drug-Target Interaction Prediction☆13Updated 6 months ago
- Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"☆27Updated 2 years ago
- ☆13Updated 2 years ago
- ☆10Updated 3 years ago
- ☆28Updated last year
- "MUFFIN: Multi-Scale Feature Fusion for Drug–Drug Interaction Prediction".☆13Updated 2 years ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year
- ☆13Updated 2 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆118Updated last year
- Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"☆87Updated 4 years ago
- ☆11Updated 3 years ago
- ☆23Updated 3 years ago
- [ACL 2023 Oral] Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning☆8Updated last year
- ☆19Updated last year
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆53Updated 2 years ago
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆38Updated 9 months ago
- ☆17Updated 2 years ago
- KGANCDA is effective to predict associations between circRNA and cancer, which is based on knowledge graph attention network. The detail …☆13Updated 2 years ago
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆14Updated 4 months ago
- related to graph and deep Learning for drug-drug interactions prediction.☆25Updated 2 years ago
- ☆19Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆19Updated last year
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆105Updated 6 months ago
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆33Updated last year
- A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction☆12Updated last year
- [BIB 2023] Official implementation of "R2-DDI: Relation-aware Feature Refinement for Drug-drug Interaction Prediction".☆13Updated last year
- [BIB 2022] The official repository of our paper "Molormer: A Lightweight Self-Attention-Based Method Focused on Spatial Structure of Mole…☆9Updated 5 months ago