jinhongjung's Stars
stas00/ml-engineering
Machine Learning Engineering Open Book
jupyter/nbgrader
A system for assigning and grading notebooks
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
jeon185/LeapRec
PyTorch implementation of LeapRec (CIKM 2024)
sejoonoh/ATR
Code and data for the ACM CIKM 2024 paper "Adversarial Text Rewriting for Text-aware Recommender Systems"
geonwooko/MULE
MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation (CIKM 2024)
jhsk777/SLADE
This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]
K-Kyungho/PET
Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24 Short)
Jinx-byebye/m2mgnn
This is the official implementation of ICML 2024 paper "Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs"
hyp1231/AmazonReviews2023
Scripts for processing the Amazon Reviews 2023 dataset; implementations and checkpoints of BLaIR: "Bridging Language and Items for Retrieval and Recommendation".
y0ngjaenius/CVPR2024_FLOWERFormer
snudm-starlab/K-prune
geonwooko/DINES
About Implementation of Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions (InfoSci-24)
kswoo97/hypeboy
Published as a conference paper at ICLR 2024
jin-choo/RASP
jaewan01/ARCHER
Implementation of Adaptive RWR Computation on Hypergraphs
syleeheal/SAFETY
The code repository of the paper, "You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark," published in CIKM 2023.
young917/MiDaS-B
MiDaS-B: Back-In-Time Sampling from Real-world Hypergraphs
kbrother/TensorCodec
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions (ICDM 23)
HyeonsooJo/MetaGC
Robust Graph Clustering via Meta Weighting for Noisy Graphs (CIKM'23)
bokveizen/cohesive-truss-merge
[KDD'23] On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms
snudatalab/TMI
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance
jaeminyoo/SSL-AD
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success (TMLR)
mengchillee/SlimG
Code for paper "Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining" (KDD 2023)
kswoo97/pcl
Published as a journal paper at DAMI 2023
jaeminyoo/DSV
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection (ECML PKDD 2023)
snudatalab/Dash
bokveizen/topology-edge-weight-interplay
[DAMI'23 (ECMLPKDD'23 Journal Track)] Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm
snudatalab/PopCon
alps-jbnu/23ALPStudy
2023 ALPS study repository