huangtinglin Goto Github PK

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

backup_huangtinglin.github.io

my personal website: https://huangtinglin.github.io/

books

技术资料分享

cogdl

CogDL: An Extensive Toolkit for Deep Learning on Graphs

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

huangtinglin.github.io

keras_reid

Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification

knowledge_graph_based_intent_network

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

linear-algebra-and-its-applications-notes

《线性代数及其应用》笔记

machine_learning

周志华《机器学习》阅读笔记

mat2c

for helaoshi

mixgcf

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

molgroup

Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023

ngcf-pytorch

PyTorch Implementation for Neural Graph Collaborative Filtering

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

organic

Code repo for optimizing distributions of molecules.

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-extension-convolution

An example of C++ extension for PyTorch.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

revisiting-plms

Exploring Evolution-aware & free protein language models as protein function predictors

speech-processing-

matlab c语言

test_

test_colab