Alessio Micheli
8 papers · 2018–2022 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(5)
Architectures
(5)
Core Methods
(5)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Techniques
(1)
Keywords
graph classification
(4)
graph neural network
(4)
representation learning
(3)
graph representation learning
(2)
probabilistic modeling
(1)
variational inference
(1)
embedding learning
(1)
maximum likelihood
(1)
vertex classification
(1)
weight sharing
(1)
stability condition
(1)
generative model
(1)
bayesian network
(1)
probabilistic model
(1)
mixture model
(1)
tree structure
(1)
dynamical system
(1)
recurrent neural network
(1)
language model
(1)
fixed point
(1)
Papers
The Infinite Contextual Graph Markov Model
ICML 2022
Graph Mixture Density Networks
ICML 2021
A Deep Generative Model for Fragment-Based Molecule Generation
AISTATS 2020
A Fair Comparison of Graph Neural Networks for Graph Classification
ICLR 2020
Fast and Deep Graph Neural Networks
AAAI 2020
Probabilistic Learning on Graphs via Contextual Architectures
JMLR 2020
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing
ICML 2018
Tree Edit Distance Learning via Adaptive Symbol Embeddings
ICML 2018