HH97

HH97's Stars

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.8k278

• twitter-research/tgn

  TGN: Temporal Graph Networks

  Language:Python910184

• LirongWu/awesome-graph-self-supervised-learning

  Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

  1.3k162

• tencent-ailab/grover

  This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

  Language:Python31667

• Shen-Lab/GraphCL

  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

  Language:Python535103

• XuezheMax/apollo

  Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization

  Language:Python17717

• laekov/fastmoe

  A fast MoE impl for PyTorch

  Language:Python1.5k174

• cyrusmaher/ogb-molecule-comp

  Language:Jupyter Notebook62

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  12.7k1.3k

• CannyLab/tsne-cuda

  GPU Accelerated t-SNE for CUDA with Python bindings

  Language:Cuda1.7k126

• rasbt/matplotlib-gallery

  Examples of matplotlib codes and plots

  Language:Jupyter Notebook1.2k299

• jbmouret/matplotlib_for_papers

  Handout for the tutorial "Creating publication-quality figures with matplotlib"

  Language:Jupyter Notebook2.1k297

• wildltr/ptranking

  Learning to Rank in PyTorch

  Language:Python45465

• allegro/allRank

  allRank is a framework for training learning-to-rank neural models based on PyTorch.

  Language:Python823114

• rootlu/L2P-GNN

  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"

  Language:Python8815

• mniepert/mmkb

  Several data modalities for KBs (visual, numerical, temporal, etc.)

  Language:Python35953

• woojeongjin/dynamic-KG

  Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

  581110

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.7k3k

• Cantoria/dynamic-graph-papers

  Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph

  39863

• UKPLab/sentence-transformers

  Multilingual Sentence & Image Embeddings with BERT

  Language:Python14.3k2.4k

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python835130

• ChandlerBang/awesome-self-supervised-gnn

  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

  Language:Python1.5k165

• facebookresearch/fvcore

  Collection of common code that's shared among different research projects in FAIR computer vision team.

  Language:Python1.9k226

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook12.9k2.5k

• devnkong/FLAG

  Official implementation of our FLAG paper (CVPR2022)

  Language:Python13918

• CUAI/CorrectAndSmooth

  [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

  Language:Python28352

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python5.9k656

• awslabs/dgl-ke

  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

  Language:Python1.2k194

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.6k989

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.1k427