cshhzhao

LLaMA-Factory

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

pytorch_geometric

Graph Neural Network Library for PyTorch

DeepSpeedExamples

Example models using DeepSpeed

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

benchmarking-gnns

Repository for benchmarking graph neural networks

awesome-self-supervised-gnn

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

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

Papers on Graph neural network(GNN)

ProG

A Unified Python Library for Graph Prompting

Awesome-LLMs-in-Graph-tasks

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

DeepOD

Deep learning-based outlier/anomaly detection

MAmmoTH

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

mine-pytorch

Mutual Information Neural Estimation in Pytorch

Deep-Learning-Based-Anomaly-Detection

gsm8k-ScRel

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

WSAD

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

fourierft

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.

XTab

GLBench

GLBench: A Comprehensive Benchmark for Graphs with Large Language Models

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

Overlap

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

Respite_MPP

DrugSideEffects

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

ALT

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

GBM_Benchmarking

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

KDAlign

KDAlign Codes for WWW 2024

GeomGCN_PyG

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

cshhzhao.github.io

Welcom to Haihong Zhao's Homepage

DSAA6000I-Final-Project-Group-6

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

PLAD

Perturbation Learning Based Anomaly Detection