rusty1s / deep-graph-matching-consensusLinks
Implementation of "Deep Graph Matching Consensus" in PyTorch
☆270Updated 4 years ago
Alternatives and similar repositories for deep-graph-matching-consensus
Users that are interested in deep-graph-matching-consensus are comparing it to the libraries listed below
Sorting:
- ☆152Updated 6 years ago
- ☆302Updated 3 years ago
- Position-aware Graph Neural Networks☆402Updated 5 years ago
- PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Mat…☆319Updated last year
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Updated 5 years ago
- PyTorch implementation of DGCNN☆396Updated 2 years ago
- A graph matching library for Python☆208Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Updated 3 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆190Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆274Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆125Updated last year
- Edge-Conditioned Convolutions on Graphs☆231Updated 7 years ago
- Attention over nodes in Graph Neural Networks using PyTorch [NeurIPS 2019]☆289Updated 5 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆546Updated 5 years ago
- A PyTorch Geometric implementation of SimGNN with some extensions.☆64Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆344Updated 4 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Updated 2 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆277Updated 10 months ago
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆91Updated 6 years ago
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆65Updated 2 years ago
- ☆504Updated 5 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated last year
- Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]☆337Updated 5 years ago
- Graph Markov Neural Networks☆413Updated 5 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆214Updated 5 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Updated 8 months ago