YanJiangJerry

ALEX

This is the repository for ALEX: Augmentation and Large language model methods for EXplainable social media analysis about public health.

ANCE

A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks

Awesome-LLM-Eval

Awesome-LLM-Eval: a curated list of tools, demos, papers, docs for Evaluation on Large Language Models like ChatGPT, LLaMA, GLM

Awesome-Medical-Healthcare-Dataset-For-LLM

A curated list of popular Datasets, Models and Papers for LLMs in Medical/Healthcare

Bert-TextClassification

Implemention some Baseline Model upon Bert for Text Classification

notebooks

Notebooks using the Hugging Face libraries 🤗

OpenMatch

An Open-Source Package for Information Retrieval

transformers

Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

yanjiangjerry.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

YanJiangJerry/yanjiangjerry.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

YanJiangJerry/-

Pengrui Zeng's Zhejiang University research project about coding algorithms of SVM, LR(Federated learning), K-means

YanJiangJerry/.tmux

🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

YanJiangJerry/awesome-graph-reduction

Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.

YanJiangJerry/BAT

[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角改善类别不平衡节点分类

YanJiangJerry/Causality-Inspired-GNNs

YanJiangJerry/ChatRule

Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.

YanJiangJerry/CoGSL

Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression

YanJiangJerry/degree-bias-exploration

Official implementation of "Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks"

YanJiangJerry/GAug

AAAI'21: Data Augmentation for Graph Neural Networks

YanJiangJerry/GLIND

[ICML2024] Learning Divergence Fields for Shift-Robust Graph Representations

YanJiangJerry/GNNPapers

Must-read papers on graph neural networks (GNN)

YanJiangJerry/graph_restructure

YanJiangJerry/GraphACL

GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)

YanJiangJerry/GraphEdit

"GraphEdit: Large Language Models for Graph Structure Learning"

YanJiangJerry/GREET

[AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating

YanJiangJerry/GTrans

[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"

YanJiangJerry/iclr2024_learning_on_graphs

List of papers on ICLR 2024

YanJiangJerry/LLaMA-Factory

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

YanJiangJerry/LLM4Graph

YanJiangJerry/mm-graph-benchmark

YanJiangJerry/Neural-Graph-Generator

Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models

YanJiangJerry/OneForAll

A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

YanJiangJerry/OpenGSL

YanJiangJerry/pytorch_geometric

Graph Neural Network Library for PyTorch

YanJiangJerry/S3GCL

YanJiangJerry/Spectral-Graph-Survey

first commit

YanJiangJerry/TAM-master

Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"

YanJiangJerry/TGS

Code for TKDE paper "A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation"

YanJiangJerry/When-Do-GNNs-Help

Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability"