dobraczka / GNNTutorialLinks
A small tutorial notebook on Graph Neural Networks, especially Graph Convolutional Networks
☆17Updated 2 years ago
Alternatives and similar repositories for GNNTutorial
Users that are interested in GNNTutorial are comparing it to the libraries listed below
Sorting:
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆17Updated last year
- 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
- Collection of papers relating data-driven higher-order graph/networks researches.☆70Updated 2 years ago
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆54Updated 2 years ago
- MMGCN：Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆20Updated 4 years ago
- A curated list of awesome Hypergraph Learning frameworks, libraries and software.☆22Updated last year
- ☆35Updated 9 months ago
- ☆20Updated 4 years ago
- ☆20Updated last year
- ☆10Updated 4 years ago
- Disease subnetwork detection with explainable Graph Neural Networks☆23Updated last year
- ☆20Updated 3 years ago
- ☆47Updated last month
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆35Updated 10 months ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆87Updated 7 months ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 4 years ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆60Updated 8 months ago
- ☆14Updated 3 years ago
- Hypergraph convolution and attention networks research☆14Updated 10 months ago
- ☆27Updated 5 months ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- ☆25Updated 2 years ago
- Pytorch implementation of Influence Augmented Contrastive (IAC) loss and SCGC : Self-Supervised Contrastive Graph Clustering (https://a…☆22Updated 3 years ago
- Source code and supplementary materials for paper "Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Ass…☆15Updated 2 years ago
- ☆26Updated 3 years ago
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆16Updated 3 years ago
- A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction☆23Updated 2 years ago
- KDD'22☆64Updated 2 years ago
- Drug repositioning with adaptive graph convolutional networks☆15Updated 9 months ago