Stars
Implementation of ICML'24 Paper "Graph Distillation with Eigenbasis Matching"
Official Code for KDD'24 "Graph Data Condensation via Self-expressive Graph Structure Reconstruction"
[NeurIPS 2025 Datasets and Benchmarks] Source code for the paper RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases
A curated list of awesome papers on dataset distillation and related applications.
This repository implements the CRAIG coreset selection procedure described in "Coresets for Data-efficient Training of Machine Learning Models" and "Towards Sustainable Learning: Coresets for Data-…
[NeurIPS 2024] CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
Data-efficient Training of Machine Learning Models
This is a pytorch implementation of k-means clustering algorithm
The official implementation of ELiCiT, described in the paper ELiCiT: Effective and Lightweight Lossy Compression of Tensors, Jihoon Ko, Taehyung Kwon, Jinhong Jung, and Kijung Shin, ICDM 2024.
WWW25: Kronecker Generative Models for Power Law Patterns in Real-World Hypergraphs
Official Implementation of WWW 2025 paper "Beyond Neighbors: Distance-Generalized Graphlets for Enhanced Graph Characterization"
[KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
[CIKM'23] Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs
Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)
Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.
dynnode2vec is a python package that implements algorithms to embed dynamic graphs
Node Embeddings in Dynamic Graphs