Christian Böhm
6 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
🚀
Conference Pioneer
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Research topics
Keywords
random walk
(2)
deep clustering
(2)
representation learning
(2)
latent representation
(2)
regularization
(1)
feature extraction
(1)
graph classification
(1)
multi-label classification
(1)
graph representation
(1)
image clustering
(1)
local regression
(1)
long short-term memory
(1)
node classification
(1)
latent space
(1)
structural feature
(1)
network embedding
(1)
label compression
(1)
clustering loss
(1)
non-redundant clustering
(1)
ensemble
(1)
Papers
Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract)
IJCAI 2025
Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
ICML 2025
Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces
IJCAI 2021
Deep Embedded Non-Redundant Clustering
AAAI 2020
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression
IJCAI 2020
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model
AAAI 2019