ny1031 / TM-HGNNLinks
[ACL 2023 Oral] Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning
☆9Updated last year
Alternatives and similar repositories for TM-HGNN
Users that are interested in TM-HGNN are comparing it to the libraries listed below
Sorting:
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆42Updated 2 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 3 years ago
- ☆27Updated last year
- Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]☆90Updated last year
- related to graph and deep Learning for drug-drug interactions prediction.☆27Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆37Updated last year
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆122Updated last year
- Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Ev…☆17Updated 4 months ago
- ☆28Updated 4 years ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year
- [BIB 2022] The official repository of our paper "Molormer: A Lightweight Self-Attention-Based Method Focused on Spatial Structure of Mole…☆9Updated 9 months ago
- ☆16Updated 2 years ago
- ☆14Updated 2 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆28Updated 3 years ago
- Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"☆38Updated 2 years ago
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆15Updated last month
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆125Updated last year
- Knowledge-enhanced learned representation enriches protein sequence and SMILES drug databases with a large Knowledge Graph fused from dif…☆59Updated 3 weeks ago
- Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".☆48Updated 3 years ago
- This repository contains a PyTorch implementation of the paper "Hierarchical Graph Representation Learning for the Prediction of Drug-Tar…☆12Updated 2 years ago
- A collection of resources related with Knowledge-augmented Graph Machine Learning for Drug Discovery.☆20Updated last year
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…☆86Updated 11 months ago
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆114Updated 9 months ago
- Edge-Augmented Graph Transformer☆77Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆21Updated last month
- ☆24Updated 2 years ago
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆62Updated last year
- Code for AAAI 2024 paper "PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein In…☆28Updated 5 months ago