malllabiisc / HyperGCN
NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
☆194Updated 4 years ago
Alternatives and similar repositories for HyperGCN:
Users that are interested in HyperGCN are comparing it to the libraries listed below
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆246Updated 2 years ago
- ☆295Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆270Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 11 months ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆148Updated last year
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆134Updated 2 years ago
- Representation learning on dynamic graphs using self-attention networks☆291Updated last year
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆325Updated 10 months ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- ☆263Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆346Updated 4 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆232Updated 4 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆226Updated last year
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated 10 months ago
- ☆109Updated 3 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago
- ☆132Updated last year
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago
- Hierarchical Graph Pooling with Structure Learning☆339Updated 3 years ago
- ☆95Updated 4 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆290Updated last year
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆94Updated last year
- A pytorch implemention of GCN-GAN for temporal link prediction.☆103Updated 5 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆64Updated 3 years ago
- ☆29Updated 4 years ago
- ☆94Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆169Updated 10 months ago