Spain

ECAI 2020

A Multilayered Informative Random Walk for Attributed Social Network Embedding

unsupervised node embedding

attributed network embedding

random walks

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

technical paper

Semantics of negative sequential patterns

Maximum Entropy Reinforced Single Object Visual Tracking

Preprocessing in Incomplete MaxSAT Solving

Resilient Distributed Constraints Optimization in Physical Multi-Agent Systems

Committee Selection with Multimodal Preferences

Consolidating Modal Knowledge Bases

Finding Quantum Critical Points with Neural-Network Quantum States

Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description

Necessary and Sufficient Conditions for Actual Root Causes

Multiwinner Rules with Variable Number of Winners

https://d3smihljt9218e.cloudfront.net/transcript/1197/subtitle/bf00b96d9c6d728017a6d8b20db2ce17.vtt

English (automatic)

Downloads

Next from ECAI 2020

Semantics of negative sequential patterns

Similar lecture

Dual Attention-based Adversarial Autoencoder for Attributed Network Embedding

.css-70qvj9{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}Downloads

Next from ECAI 2020

Semantics of negative sequential patterns

Similar lecture

Dual Attention-based Adversarial Autoencoder for Attributed Network Embedding

Downloads