Yan (YanJiangJerry)

YanJiangJerry

Geek Repo

Company:UQ

Location:Qingdao

Home Page:https://yanjiangjerry.github.io//

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Yan's repositories

yanjiangjerry.github.io

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

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

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.tmux

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

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awesome-graph-reduction

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

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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

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ChatRule

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

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CoGSL

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

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degree-bias-exploration

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

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GAug

AAAI'21: Data Augmentation for Graph Neural Networks

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GLIND

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

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GNNPapers

Must-read papers on graph neural networks (GNN)

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GraphACL

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

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GraphEdit

"GraphEdit: Large Language Models for Graph Structure Learning"

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GREET

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

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GTrans

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

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iclr2024_learning_on_graphs

List of papers on ICLR 2024

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LLaMA-Factory

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

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Neural-Graph-Generator

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

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OneForAll

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

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pytorch_geometric

Graph Neural Network Library for PyTorch

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TAM-master

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

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TGS

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

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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"

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