Mark Heimann
4 papers · 2020–2024 · 3 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
(3)
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Interdisciplinary Bridge
🐣
Hot Topic Early Bird
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Cross-Pollinator
(15)
Conferences
NIPS (2)
ICLR (1)
WACV (1)
Top co-authors
Keywords
graph neural network
(2)
semi-supervised learning
(1)
domain adaptation
(1)
self-supervised learning
(1)
knowledge distillation
(1)
data augmentation
(1)
contrastive learning
(1)
knowledge graph
(1)
node classification
(1)
task adaptation
(1)
few-shot classification
(1)
graph contrastive learning
(1)
graph representation
(1)
Papers
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
ICLR 2024
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification
WACV 2023
Analyzing Data-Centric Properties for Graph Contrastive Learning
NIPS 2022
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
NIPS 2020