changliu01

changliu01's Stars

• tsinghua-fib-lab/DiskNet

  Official implementation for "Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space" (KDD2024)

  Language:Python214

• tsinghua-fib-lab/AgentSquare

  The official implementation of the paper "AgentSquare: Automatic LLM Agent Search in Modular Design Space""

  Language:HTML1379

• HaitaoMao/Awesome_Graph_Foundation_Models

  Accompanied repositories for our paper Graph foundation model

  16012

• tsinghua-fib-lab/EmbodiedCity

  Language:Python1879

• m-serious/tipping-predictor

  Code to early predict the onset of critical transitions in networked dynamical systems.

  Language:Python151

• xurongxiang/Overleaf_to_GitHub

  131

• wnm1503303791/Multi_GPU_Runner

  Helps to run Multiple processes on Multiple GPUs, each process correspond to only one GPU.

  Language:Python92

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook65.5k33.5k

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python33.4k6.4k

• pranz24/pytorch-soft-actor-critic

  PyTorch implementation of soft actor critic

  Language:Python823182

• jdppthk/parallelized-reservoir-computing

  This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the paper: Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach (Physical Review Letters, 120, 024102 (2018)).

  Language:MATLAB347

• laiguokun/multivariate-time-series-data

  773168

• TamSiuhin/LLM-UM-Reading

  A list of large language models for user modeling (LLM-UM) papers, based on "User Modeling in the Era of Large Language Models: Current Research and Future Directions" at DEBULL

  10111

• dshizuka/networkanalysis

  Network Analysis Tutorials

  Language:HTML83

• yuanqidu/awesome-graph-generation

  29518

• qingsongedu/awesome-AI-for-time-series-papers

  A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

  1.3k120

• qingsongedu/Awesome-SSL4TS

  A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

  28720

• nerfies/nerfies.github.io

  Language:JavaScript2.6k941

• GLAD-RUC/ESTAG

  The source code of "Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics"

  Language:Jupyter Notebook212

• DongkiKim95/D-SLA

  Official Code Repository for the paper "Graph Self-supervised Learning with Accurate Discrepancy Learning" (NeurIPS 2022)

  Language:Python162

• zaixizhang/MGSSL

  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"

  Language:Python11216

• DeepGraphLearning/GraphLoG

  Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).

  Language:Python7719

• Shen-Lab/GraphCL_Automated

  [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

  Language:Python11011

• PetarV-/DGI

  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

  Language:Python631135

• snap-stanford/pretrain-gnns

  Strategies for Pre-training Graph Neural Networks

  Language:Python972163

• ahxt/g-mixup

  [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification

  Language:Python928

• sunfanyunn/InfoGraph

  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

  Language:Python31445

• liyaguang/DCRNN

  Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

  Language:Python1.2k401

• zhengchuanpan/GMAN

  GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

  Language:Python423107

• hazdzz/STGCN

  The PyTorch implementation of STGCN.

  Language:Python504109