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DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano and Nuria Oliver.
A graph benchmark library for heterophilic and heterogeneous graphs
Use PEFT or Full-parameter to finetune 350 LLMs or 90 MLLMs. (LLM: Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, Gemma2, ...; MLLM: Qwen2-VL, Qwen2-Audio, Llama3.2-Vi…
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
links to conference publications in graph-based deep learning
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A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。
Examples and guides for using the OpenAI API
Disentangle graph homophily into label homophily, structural homophily, and feature homophily. Including 20 homophily meaasurements on 31 datasets.
A Survey of Learning from Graphs with Heterophily
A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf
Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability"
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
A collection of AWESOME things about Graph-Related LLMs.
A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
Must-read papers on graph foundation models (GFMs)
A list of Graph Causal Learning materials.
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C 等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?