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Researchers poison stolen data to make AI systems return wrong results

Wanted: Chief Disinformation Officer to pollute company knowledge graphs Researchers affiliated with universities in China and Singapore have devised a technique to make stolen knowledge graph data ...
IEEE

N2VSCDNNR: A Local Recommender System Based on Node2vec and Rich Information Network

Abstract: Recommender systems are becoming more and more important in our daily lives. However, traditional recommendation methods are challenged by data sparsity and efficiency, as the numbers of ...
IEEE

Link Prediction Algorithms for Social Networks Based on Machine Learning and HARP

Abstract: In Node2Vec, the global structure of the network is neglected and the stochastic gradient descent (SGD) method is easy to fall into local optimum. Based on this algorithm, an improved link ...
GitHub

Network Traffic Prediction with Attention-based Spatial-Temporal Graph Network

1.Download the network traffic matrix dataset and generate the .h5 dataset file using GenerateDataset.py, the .h5 file should be placed in the data/ folder. python GenerateDataset.py 2.Generate SE.txt ...
Microsoft

ProNE: Fast and Scalable Network Representation Learning

Recent advances in network embedding have revolutionized the field of graph and network mining. However, (pre-)training embeddings for very large-scale networks is computationally challenging for most ...
GitHub

OpenANE: the first Open source framework specialized in Attributed Network Embedding (ANE)

We reproduce several ANE (Attributed Network Embedding) methods as well as PNE (Pure Network Embedding) methods in one unified framework, where they all share the same I/O, downstream tasks, etc. We ...