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Network Embedding

62 papers with code ยท Methodology

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Integrated Node Encoder for Labelled Textual Networks

24 May 2020

Voluminous works have been implemented to exploit content-enhanced network embedding models, with little focus on the labelled information of nodes.

NETWORK EMBEDDING

CSNE: Conditional Signed Network Embedding

19 May 2020

Experiments on a variety of real-world networks confirm that CSNE outperforms the state-of-the-art on the task of sign prediction.

NETWORK EMBEDDING

Multi-View Collaborative Network Embedding

17 May 2020

Real-world networks often exist with multiple views, where each view describes one type of interaction among a common set of nodes.

NETWORK EMBEDDING

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs

15 May 2020

Detecting anomalies in dynamic graphs is a vital task, with numerous practical applications in areas such as security, finance, and social media.

ANOMALY DETECTION NETWORK EMBEDDING

Machine Learning on Graphs: A Model and Comprehensive Taxonomy

7 May 2020

The second, graph regularized neural networks, leverages graphs to augment neural network losses with a regularization objective for semi-supervised learning.

GRAPH EMBEDDING GRAPH REPRESENTATION LEARNING NETWORK EMBEDDING

Using Distributional Thesaurus Embedding for Co-hyponymy Detection

LREC 2020

Discriminating lexical relations among distributionally similar words has always been a challenge for natural language processing (NLP) community.

NETWORK EMBEDDING

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN

3 Apr 2020

We present a multi-filtering Graph Convolution Neural Network (GCN) framework for network embedding task.

LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION

Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN

1 Apr 2020

It has achieved great success on many tasks of network analysis such as link prediction and node classification.

LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION

Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering

30 Mar 2020

In this work, we study the utility of graph embeddings to generate latent user representations for trust-based collaborative filtering.

NETWORK EMBEDDING

Temporal Network Representation Learning via Historical Neighborhoods Aggregation

30 Mar 2020

More specifically, we first propose a temporal random walk that can identify relevant nodes in historical neighborhoods which have impact on edge formations.

LINK PREDICTION NETWORK EMBEDDING NODE CLASSIFICATION