Sunefei

llama3

The official Meta Llama 3 GitHub site

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

TomatoBar

🍅 World's neatest Pomodoro timer for macOS menu bar

ttt-lm-pytorch

Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Awesome-Open-Vocabulary

(TPAMI 2024) A Survey on Open Vocabulary Learning

Awesome-LLM-Uncertainty-Reliability-Robustness

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

Awesome-Scientific-Language-Models

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)

CitationMap

A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.

graphstorm

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

Awesome-Few-Shot-Class-Incremental-Learning

Awesome Few-Shot Class-Incremental Learning

notebook

My NoteBook using MkDocs

GraphAny

GraphAny: A foundation model for node classification on any graph.

TAG-Benchmark

Benchmark

TAM

TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification

awesome-multi-label-paper-list

A curated list of papers for multi-label classification.

Large_Scale_GCN_Benchmarking

This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch.

DualCoOp

Implementation for "DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations" (NeurIPS 2022))

Subg-Con

Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

LLM-Attributor

LLM Attributor: Attribute LLM's Generated Text to Training Data

Duxiaoman-talk

度小满数据智能应用部成员公开演讲材料

TSGFM

TAGLAS

An atlas of text-attributed graph datasets in the era of large graph and language model.

MultiGPrompt

mm-graph-benchmark

Pretext

Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"

Integer_Addition

✱ Understanding the underlying learning dynamics of simple tasks in Transformer networks

GNN-LF-HF

WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework

G-Tuning

The implementation of “Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns”

graph-instruction-tuning

[COLM'24] Investigating Instruction Tuning Large Language Models on Graphs