bingzhewei / geom-gcnLinks
☆296Updated 2 years ago
Alternatives and similar repositories for geom-gcn
Users that are interested in geom-gcn are comparing it to the libraries listed below
Sorting:
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆227Updated last year
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆349Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆641Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆195Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 5 months ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆327Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated 11 months ago
- Distance Encoding for GNN Design☆186Updated 4 years ago
- ☆268Updated 2 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆592Updated 10 months 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
- Official PyTorch Implementation of SAGPool - ICML 2019☆370Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- ☆491Updated 4 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆197Updated 4 years ago
- Representation learning on dynamic graphs using self-attention networks☆295Updated 2 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated last year
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆349Updated 2 years ago