samihaija / mixhopView external linksLinks
Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
☆125Jun 27, 2019Updated 6 years ago
Alternatives and similar repositories for mixhop
Users that are interested in mixhop are comparing it to the libraries listed below
Sorting:
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆404Nov 6, 2022Updated 3 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆125Apr 25, 2024Updated last year
- Position-aware Graph Neural Networks☆402Oct 12, 2020Updated 5 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Sep 25, 2024Updated last year
- Dual Graph Convolution Networks☆97Dec 20, 2018Updated 7 years ago
- tensorflow-as-gcn☆89Oct 19, 2019Updated 6 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Dec 9, 2024Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Mar 6, 2024Updated last year
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆847Dec 13, 2021Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Nov 22, 2022Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Dec 7, 2022Updated 3 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Mar 25, 2021Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆662Nov 1, 2022Updated 3 years ago
- Attention over nodes in Graph Neural Networks using PyTorch [NeurIPS 2019]☆289Oct 25, 2020Updated 5 years ago
- PyTorch implementation of DGCNN☆397Sep 13, 2023Updated 2 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,498Apr 9, 2022Updated 3 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆808Nov 6, 2022Updated 3 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆507Aug 12, 2022Updated 3 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Dec 16, 2018Updated 7 years ago
- ☆39Dec 8, 2022Updated 3 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆179May 15, 2023Updated 2 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆546Sep 17, 2020Updated 5 years ago
- ☆302Jul 17, 2022Updated 3 years ago
- Stochastic training of graph convolutional networks☆84Sep 20, 2022Updated 3 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆190Mar 22, 2022Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Apr 27, 2020Updated 5 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆374Nov 6, 2022Updated 3 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59May 22, 2019Updated 6 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Nov 10, 2023Updated 2 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆317Oct 18, 2019Updated 6 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118May 5, 2020Updated 5 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,116Jul 6, 2023Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,359Apr 14, 2023Updated 2 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]☆337Oct 16, 2020Updated 5 years ago
- Graph Markov Neural Networks☆413Jul 8, 2020Updated 5 years ago
- ☆10Dec 21, 2019Updated 6 years ago
- The code generates preferential attachment networks with homophily and two groups.☆13Apr 4, 2018Updated 7 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆274Apr 26, 2023Updated 2 years ago