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
.tmux
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
awesome-graph-reduction
Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
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
ChatRule
Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.
CoGSL
Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression
degree-bias-exploration
Official implementation of "Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks"
GAug
AAAI'21: Data Augmentation for Graph Neural Networks
GLIND
[ICML2024] Learning Divergence Fields for Shift-Robust Graph Representations
GNNPapers
Must-read papers on graph neural networks (GNN)
GraphACL
GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
GraphEdit
"GraphEdit: Large Language Models for Graph Structure Learning"
GREET
[AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
GTrans
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
iclr2024_learning_on_graphs
List of papers on ICLR 2024
LLaMA-Factory
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Neural-Graph-Generator
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
OneForAll
A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
pytorch_geometric
Graph Neural Network Library for PyTorch
Spectral-Graph-Survey
first commit
TAM-master
Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
TGS
Code for TKDE paper "A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation"
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"