Sherryuu / multi-layer-GCN
A tensorflow implementation of multi-layer GCN, and at the same time adding a residual layer, based on the semi-GCN of paper"Semi-Supervised Classification with Graph Convolutional Networks".
☆14Updated 5 years ago
Alternatives and similar repositories for multi-layer-GCN:
Users that are interested in multi-layer-GCN are comparing it to the libraries listed below
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- ☆9Updated 5 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"☆74Updated 4 years ago
- Label Informed Attributed Network Embedding, WSDM 2017☆37Updated 5 years ago
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification☆27Updated 3 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆104Updated 6 months ago
- source code for IJCAI 17 paper "Fast Network Embedding Enhancement via High Order Proximity Approximation"☆33Updated 7 years ago
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆55Updated 4 years ago
- Implementation Excercise of Graph Attention Network in Pytorch☆7Updated 6 years ago
- ☆12Updated 6 years ago
- Open Resources For network embedding☆15Updated 4 years ago
- CPU-based multi-thread implementation of Task-guided and Path-augmented Heterogeneous Network Embedding☆16Updated 7 years ago
- Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)☆64Updated 6 years ago
- embedding attributed graphs☆58Updated 3 years ago
- Tutorial for Graph AutoEncoder implemented by TensorFlow 1.x and 2.x☆42Updated 4 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- ☆21Updated last year
- the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)☆45Updated 5 years ago
- Implementation of some network representation methods including DeepWalk, LINE, node2vec and GraphGAN (In TensorFlow)☆22Updated 6 years ago
- bilinear graph neural network☆29Updated 4 years ago
- Learning Community Embedding with Community Detection and Node Embedding on Graphs☆34Updated 5 years ago
- Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"☆70Updated 5 years ago
- Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method☆12Updated 3 years ago
- Dynamic Network Embedding by Modeling Triadic Closure Process☆138Updated 5 years ago
- ☆26Updated 5 years ago
- A python implementation of Patchy-San Convolutional Network for Graph☆41Updated 4 years ago
- ☆50Updated 3 years ago
- source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…☆31Updated 7 years ago