Spain

ECAI 2020

Link Prediction by Analyzing Common Neighbors Based Subgraphs using Convolutional Neural Network

social network analysis

link prediction

deep learning

stages 

COLING, the International Conference on Computational Linguistics, is one of the premier conferences for natural language processing and computational linguistics. Often grouped within the field of artificial intelligence, but actually pre-dating the development of artificial intelligence, advances in computational linguistics and natural language processing are now some of the major drivers behind the use of artificial intelligence for commercial and social applications – for example, on-line search, machine translation and with voice-assisted conversational devices.

First established in 1965, the biennial COLING conference is held in diverse parts of the globe and attracts participants from both top-ranked research centers and emerging countries. Today, the most important developments in our field are taking place not only in universities and academic research institutes, but also in industrial research departments and in technological startups. COLING conferences provide opportunities for all these communities to showcase their exciting developments.

COLING 2020

COLING, the International Conference on Computational Linguistics, is one of the premier conferences for natural language processing and computational linguistics. Often grouped within the field of artificial intelligence, but actually pre-dating the development of artificial intelligence, advances in computational linguistics and natural language processing are now some of the major drivers behind the use of artificial intelligence for commercial and social applications – for example, on-line search, machine translation and with voice-assisted conversational devices.

technical paper

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.

Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms

Pruning CNN's with linear filter ensembles

On the Relation between Claim-augmented Argumentation Frameworks and Collective Attacks

Family and Prejudice: A Behavioural Taxonomy of Machine Learning Techniques

Incentivize Diffusion with Fair Rewards

Dynamic Algorithm Configuration:Foundation of a New Meta-Algorithmic Framework

CDeepEx: Contrastive Deep Explanations

Variational Objectives for Markovian Dynamics with Backward Simulation;

Combination of Active Learning and Self-Paced Learning for Deep Answer Selection with Bayesian Neural Network

Fleet-Wide Policy Iteration using Gaussian Processes

https://d3smihljt9218e.cloudfront.net/transcript/1252/subtitle/5c967c40830c544d75dda237c6bab404.vtt

English (automatic)

Link Prediction by Analyzing Common Neighbors Based Subgraphs using Convolutional Neural Network

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Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms

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Link Prediction by Analyzing Common Neighbors Based Subgraphs using Convolutional Neural Network

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Next from ECAI 2020

Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms

Similar lecture

RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion

Downloads