cshhzhao

cshhzhao's Stars

• cshhzhao/GCOPE

  Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published in KDD'2024

  Language:Python201

• NineAbyss/GLBench

  GLBench: A Comprehensive Benchmark for Graphs with Large Language Models

  Language:Jupyter Notebook272

• hiyouga/LLaMA-Factory

  Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

  Language:Python30.2k3.7k

• sheldonresearch/ProG

  A Unified Python Library for Graph Prompting

  Language:Python48557

• Chaos96/fourierft

  Language:Python1186

• bitzhangcy/Deep-Learning-Based-Anomaly-Detection

  21121

• PietroMSB/DrugSideEffects

  Project for the prediction of drug side-effect occurrences in the general population with Graph Neural Networks.

  Language:Python61

• dahvida/GBM_Benchmarking

  Scripts to reproduce the results of the paper "Practical guidelines for the use of Gradient Boosting for molecular property prediction".

  Language:Python61

• dengjianyuan/Respite_MPP

  Language:Jupyter Notebook183

• cshhzhao/KDAlign

  KDAlign Codes for WWW 2024

  51

• cshhzhao/DSAA6000I-Final-Project-Group-6

  This is the repository for dsaa6000I-final-project. The topic is LLM for Fake News Detection

  Language:Jupyter Notebook2

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.1k293

• BingzhaoZhu/XTab

  Language:Python301

• gtegner/mine-pytorch

  Mutual Information Neural Estimation in Pytorch

  Language:Jupyter Notebook28354

• ChandlerBang/awesome-self-supervised-gnn

  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

  Language:Python1.5k162

• cshhzhao/cshhzhao.github.io

  Welcom to Haihong Zhao's Homepage

  Language:JavaScript2

• yhLeeee/Awesome-LLMs-in-Graph-tasks

  A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

  47945

• alexfanjn/GeomGCN_PyG

  Reimplementation of ICLR20 paper "Geom-GCN: Geometric Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).

  Language:Python3

• pricexu/ALT

  Implementations of 'Node Classification Beyond Homophily: Towards a General Solution', SIGKDD'23

  Language:Python7

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.9k3.6k

• OFA-Sys/gsm8k-ScRel

  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

  Language:Python20216

• TIGER-AI-Lab/MAmmoTH

  Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" (ICLR 2024)

  Language:Jupyter Notebook31644

• microsoft/DeepSpeedExamples

  Example models using DeepSpeed

  Language:Python6k1k

• graphdeeplearning/benchmarking-gnns

  Repository for benchmarking graph neural networks

  Language:Jupyter Notebook2.5k448

• Minqi824/Overlap

  Official code and data repository of "Anomaly Detection with Score Distribution Discrimination", KDD' 23.

  Language:Python202

• yzhao062/WSAD

  A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)

  Language:Python15011

• NilsB98/PLAD

  Perturbation Learning Based Anomaly Detection

  Language:Python2

• xuhongzuo/DeepOD

  Deep learning-based outlier/anomaly detection

  Language:Python38847

• jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress

  Papers on Graph neural network(GNN)

  752106

• yongduosui/CAL

  [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.

  Language:Python768