Stars
Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions" paper.
Awesome Reasoning LLM Tutorial/Survey/Guide
verl: Volcano Engine Reinforcement Learning for LLMs
A highly capable 2.4B lightweight LLM using only 1T pre-training data with all details.
Official repository for paper "MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement"
Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
JittorGeometric is a Jittor-based graph machine learning library.
utilities for decoding deep representations (like sentence embeddings) back to text
Graph Injection Adversarial Attack & Defense Dataset , extracted from KDD CUP 2020 ML2 Track
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
A Library for Dynamic Graph Learning (NeurIPS 2023)
[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
"GraphEdit: Large Language Models for Graph Structure Learning"