asarigun / mma
Official Implementation of Multi-Masked Aggregators for Graph Neural Networks in Pytorch and PyTorch Geometric
☆11Updated last year
Alternatives and similar repositories for mma:
Users that are interested in mma are comparing it to the libraries listed below
- Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021☆153Updated last year
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆146Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 7 months ago
- Source code of attributed graph generator☆10Updated last year
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆51Updated last year
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆25Updated 3 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆61Updated last year
- GNNExplainer implementation using DGL☆31Updated 3 years ago
- ☆45Updated last year
- Edge-Augmented Graph Transformer☆74Updated 11 months ago
- REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction☆16Updated 2 months ago
- ☆104Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆120Updated 10 months ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆82Updated 3 months ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆110Updated 4 months ago
- A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction☆12Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆76Updated 2 months ago
- ☆29Updated 10 months ago
- ☆10Updated 8 months ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆42Updated 3 years ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆27Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆66Updated 10 months ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆79Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆18Updated last year
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆78Updated 3 years ago
- ☆27Updated 3 years ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆163Updated 11 months ago
- [The Web Conference 2024] GNNShap: Scalable and Accurate GNN Explanation using Shapley Values☆28Updated 10 months ago
- Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Ev…☆15Updated 2 years ago