chuxuzhang / KDD2019_HetGNN
code of HetGNN
☆400Updated 5 years ago
Alternatives and similar repositories for KDD2019_HetGNN:
Users that are interested in KDD2019_HetGNN are comparing it to the libraries listed below
- Representation-Learning-on-Heterogeneous-Graph☆440Updated 5 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆323Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆412Updated 4 years ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆530Updated 3 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆320Updated last year
- ☆350Updated 5 years ago
- Heterogeneous Information Network Datasets for Recommendation and Network Embedding☆343Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆647Updated last year
- Implementation of R-GCNs for Relational Link Prediction☆456Updated 2 years ago
- ☆186Updated 6 years ago
- Heterogeneous Graph Neural Network☆1,136Updated 4 years ago
- Representation learning on dynamic graphs using self-attention networks☆292Updated 2 years ago
- Heterogeneous Information Network Embedding☆198Updated 3 years ago
- Datasets-for-Heterogeneous-Graph☆127Updated 5 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆441Updated last year
- Pytorch implementation of a RGCN Link Prediction Model☆250Updated 3 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆327Updated last year
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆561Updated 3 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆814Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆484Updated 2 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆525Updated 4 years ago
- Graph Neural Network☆266Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆828Updated last year
- Materials for DGL hands-on tutorial in WWW 2020☆503Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆470Updated 2 years ago
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆616Updated 9 months ago
- A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization☆161Updated 5 years ago
- ☆319Updated 9 months ago
- Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"☆230Updated 4 years ago