Mohamed Bouguessa
3 papers · 2022–2023 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Top co-authors
Research topics
Keywords
deep clustering
(2)
single-cell rna sequencing
(2)
adversarial learning
(1)
manifold learning
(1)
variational inference
(1)
self-supervised learning
(1)
geometric deep learning
(1)
graph representation
(1)
graph structure
(1)
graph embedding
(1)
node clustering
(1)
single-cell rna-seq
(1)
graph autoencoder
(1)
topological analysis
(1)
zero-inflated negative binomial
(1)
unsupervised learning
(1)
latent manifold
(1)
representation learning
(1)
Papers
Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective
AAAI 2023
Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data
IJCAI 2023
Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering
IJCAI 2022