Moshe Eliasof
18 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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๐บ๏ธ Taxonomy Completionist (25) ๐ Conference Polyglot ยท Silver ๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Silver ๐ฃ Hot Topic Early Bird
๐
Keyword Champion
(2)
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Grand Slam
๐ฌ
Deep Specialist
(15)
๐
Renaissance Researcher
(6)
๐ฅ
Unstoppable ยท Bronze
โก
Prolific Year ยท Productive
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Century Club ยท Bronze
๐๏ธ
Keyword Collector
(84)
Top co-authors
Research topics
Deep Learning
(17)
Architectures
(17)
Machine Learning
(10)
Core Methods
(7)
Techniques
(5)
Optimization & Theory
(4)
Learning Types
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Core AI
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Keywords
graph neural network
(13)
message passing
(4)
node classification
(4)
representation learning
(2)
graph convolutional network
(2)
diffeomorphic transformation
(2)
graph classification
(2)
long-range dependencies
(2)
feature learning
(1)
batch normalization
(1)
multi-task learning
(1)
policy learning
(1)
flow matching
(1)
graph representation
(1)
video prediction
(1)
random walk
(1)
vision transformer
(1)
hierarchical representation
(1)
temporal dynamics
(1)
parameter efficient
(1)
Papers
Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields
AAAI 2026
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
CVPR 2025
Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement
ICLR 2025
Graph Adaptive Autoregressive Moving Average Models
ICML 2025
Improving the Effective Receptive Field of Message-Passing Neural Networks
ICML 2025
Learning Regularization for Graph Inverse Problems
AAAI 2025
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
AAAI 2025
Advection Augmented Convolutional Neural Networks
NeurIPS 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
NeurIPS 2024
Efficient Subgraph GNNs by Learning Effective Selection Policies
ICLR 2024
Feature Transportation Improves Graph Neural Networks
AAAI 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks
NeurIPS 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
AISTATS 2024
Graph Positional Encoding via Random Feature Propagation
ICML 2023
Improving Graph Neural Networks with Learnable Propagation Operators
ICML 2023
pathGCN: Learning General Graph Spatial Operators from Paths
ICML 2022
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
NeurIPS 2021
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
NeurIPS 2020