BroseaFu's Stars
qitianwu/NodeFormer
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
lsj2408/Transformer-M
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
BUPT-GAMMA/GammaGL
A multi-backend graph learning library.
TrustAGI-Lab/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
jwzhanggy/Graph_Toolformer
luis-mueller/probing-graph-transformers
Code for our paper "Attending to Graph Transformers"
wehos/awesome-graph-transformer
Papers about graph transformers.
mapequation/infomap
Multi-level network clustering based on the Map Equation
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
binary-husky/gpt_academic
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, moss等。
ChandlerBang/awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
PyGCL/PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
nju-websoft/AliNet
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020
meta-llama/llama
Inference code for Llama models
Cakeyan/CCF-Rank-2022
MaoXinn/SEU
THU-KEG/Entity_Alignment_Papers
Must-read papers on entity alignment published in recent years
seongjunyun/Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
MLNLP-World/Paper-Writing-Tips
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
pcy1302/DMGI
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
nju-websoft/BootEA
Bootstrapping Entity Alignment with Knowledge Graph Embedding, IJCAI 2018
scpei/CPUGA
Code of CPUGA WWW 2022
aditya-grover/node2vec
HKUST-KnowComp/MNE
Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
williamleif/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
williamleif/graphsage-simple
Simple reference implementation of GraphSAGE.
vonfeng/DPLink
Codes for WWW'19 Paper-DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data
titipata/allennlp-tutorial
Tutorial on AllenNLP library with demo "which journal to submit paper?"