Jeongwhan Choi
jeongwhanchoi
Postdoc researcher @ KAIST | Ph.D. @ Yonsei University
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Top Repositories
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"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023
LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
š¼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
"SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025
Repositories
529Batch convert ppt files to pdf files by Automator on MacOS
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Deep and also *fast* feature synthesis
Relational Database Learning with Foundation Models
"SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
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PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
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GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023
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AAAI 2026, "Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs"
Jeongwhan's CV of Failures: a (tiny) contribution to academics
š¼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
Official Pytorch Implementation of PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation, NeurIPS 2025
Implementation of GTMGC: Using Graph Transformer to Predict Moleculeās Ground-State Conformation (ICLR2024 Spotlight).
Deep Equilibrium Based Neural Operators for Steady State PDEs
The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
Code for "Kuramoto Orientation Diffusion"
A GFlowNet with a chemical synthesis action space.
LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
[LoG '25] Repository implementing AnyCQ - a GNN-guided search engine for answering queries over incomplete Knowledge Graphs
RelBench: Relational Deep Learning Benchmark
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain, IJCAI 2025
A standard framework for modelling Deep Learning Models for tabular data