lehaifeng / Awesome-Adversarial-Sample-on-Graph
☆15Updated 6 years ago
Alternatives and similar repositories for Awesome-Adversarial-Sample-on-Graph:
Users that are interested in Awesome-Adversarial-Sample-on-Graph are comparing it to the libraries listed below
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 6 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 5 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- Graph Neural Networks Paper List of 2019 Conferences☆20Updated 5 years ago
- Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"☆50Updated 4 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- [PR 2021] Code for "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"☆12Updated 3 years ago
- Active Learning for Graph Embedding☆32Updated 7 years ago
- This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxi…☆104Updated 7 months 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
- ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)☆85Updated last year
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated last year
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction☆55Updated 6 years ago
- Advancing GraphSAGE with A Data-driven Node Sampling☆26Updated 2 years ago
- Label Informed Attributed Network Embedding, WSDM 2017☆37Updated 5 years ago
- Learning graph representations using autoencoder☆51Updated 8 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆55Updated 4 years ago
- ☆50Updated 3 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- ☆82Updated 5 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated 10 months ago
- TensorFlow 2.0 implementation of MNIST classification using Graph Convolutional Network☆17Updated 5 years ago
- A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-I…☆32Updated 4 years ago