hugochan / IDGLLinks
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
☆227Updated last year
Alternatives and similar repositories for IDGL
Users that are interested in IDGL are comparing it to the libraries listed below
Sorting:
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- ☆135Updated last year
- ☆296Updated 2 years ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆157Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆195Updated last year
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- ☆268Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆327Updated last year
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆298Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- Distance Encoding for GNN Design☆186Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆149Updated 2 years ago
- Parameterized Explainer for Graph Neural Network☆132Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- The source code of HeCo☆165Updated 3 years ago
- ☆96Updated 4 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆137Updated 2 years ago
- Representation learning on dynamic graphs using self-attention networks☆295Updated 2 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆197Updated 4 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆171Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆198Updated 4 years ago