imayachita / Graph_Convolutional_Networks_Node_ClassificationLinks
☆39Updated 2 years ago
Alternatives and similar repositories for Graph_Convolutional_Networks_Node_Classification
Users that are interested in Graph_Convolutional_Networks_Node_Classification are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- GraphSAGE and GAT for link prediction.☆91Updated 5 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- HDGI code☆61Updated 5 years ago
- Explore Graph Convolutional Networks☆17Updated last year
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆96Updated 2 years ago
- An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.☆61Updated 5 years ago
- Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop☆31Updated 5 years ago
- ☆26Updated 5 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆149Updated 2 years ago
- A collection of graph classification methods☆42Updated 4 years ago
- Distance Encoding for GNN Design☆186Updated 4 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 5 years ago
- Pytorch implementation of Relational GCN for node classification☆76Updated last year
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification☆28Updated 4 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆42Updated 3 years ago
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 4 years ago
- Graph Neural Networks Paper List of 2019 Conferences☆20Updated 5 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…☆45Updated last year
- The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI☆35Updated 6 years ago
- An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).☆61Updated 2 years ago
- Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"☆42Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- codes of R-HGNN model for Heterogeneous Graph Representation Learning☆46Updated 3 years ago
- Code for Arxiv 2018 Paper "HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding"☆31Updated 6 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 7 years ago