Jeongwhan Choi
11 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot · Silver 👑 Triple Crown 🏆 Grand Slam
🤝
Dynamic Duo
(11)
❓
The Questioner
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(8)
Architectures
(8)
Core Methods
(8)
Optimization & Theory · Machine Learning
(4)
Data Science & Analytics
(2)
Applications
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Knowledge & Reasoning
(1)
Application Areas
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
graph neural network
(6)
graph signal processing
(3)
transformer architecture
(2)
over-smoothing problem
(2)
singular value decomposition
(2)
message passing
(2)
graph filter
(2)
over-squashing
(2)
self-attention mechanism
(2)
inductive bia
(1)
hidden state
(1)
generative model
(1)
fourier transform
(1)
sequential recommendation
(1)
graph topology
(1)
spatio-temporal modeling
(1)
spatiotemporal forecasting
(1)
neural differential equation
(1)
graph convolution
(1)
recommendation system
(1)
Papers
Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs
AAAI 2026
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain
IJCAI 2025
PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks
ICLR 2025
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
AAAI 2024
Graph Convolutions Enrich the Self-Attention in Transformers!
NeurIPS 2024
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
ICLR 2024
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
ICML 2024
Polynomial-based Self-Attention for Table Representation Learning
ICML 2024
SVD-AE: Simple Autoencoders for Collaborative Filtering
IJCAI 2024
GREAD: Graph Neural Reaction-Diffusion Networks
ICML 2023
Graph Neural Controlled Differential Equations for Traffic Forecasting
AAAI 2022