yunshengb / graph-matching-toolkitLinks
☆14Updated 7 years ago
Alternatives and similar repositories for graph-matching-toolkit
Users that are interested in graph-matching-toolkit are comparing it to the libraries listed below
Sorting:
- ☆152Updated 6 years ago
- ☆56Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- ☆30Updated 5 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆75Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Implementation of "Deep Graph Matching Consensus" in PyTorch☆270Updated 4 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆119Updated 3 years ago
- official repo for the NeurIPS 2022 paper "GREED: A Neural Framework for Learning Graph Distance Functions"☆29Updated 2 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Updated 5 years ago
- HDGI code☆63Updated 5 years ago
- ☆27Updated last year
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆150Updated 2 years ago
- Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.☆144Updated 4 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆209Updated 5 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated 2 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆85Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆105Updated last year
- Deeper insights into graph convolutional networks for semi-supervised learning☆19Updated 6 years ago
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- ☆302Updated 3 years ago
- A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)☆79Updated 6 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆357Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago