rusty1s / deep-graph-matching-consensusLinks
Implementation of "Deep Graph Matching Consensus" in PyTorch
☆266Updated 3 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:
- ☆299Updated 2 years ago
- PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Mat…☆305Updated 8 months ago
- ☆150Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 5 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆187Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆271Updated 2 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Hierarchical Graph Pooling with Structure Learning☆341Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- Edge-Conditioned Convolutions on Graphs☆231Updated 6 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- PyTorch implementation of DGCNN☆389Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆200Updated 4 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆351Updated 4 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆537Updated 4 years ago
- ☆423Updated 6 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆285Updated 4 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆627Updated 11 months ago
- ☆491Updated 4 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆334Updated 4 years ago
- Memory-Based Graph Networks☆103Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- A graph matching library for Python☆207Updated last year
- ☆354Updated last year
- Hyperbolic Graph Neural Networks☆236Updated 5 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆178Updated 7 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago