jason9464

jason9464's Stars

• PythonOT/POT

  POT : Python Optimal Transport

  Language:Python2.5k47257505

• XiaoxinHe/Awesome-Graph-LLM

  A collection of AWESOME things about Graph-Related LLMs.

  1.9k4616137

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

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

  1.4k170168

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python90784796

• flyingdoog/awesome-graph-explainability-papers

  Papers about explainability of GNNs

  67428768

• jeanfeydy/geomloss

  Geometric loss functions between point clouds, images and volumes

  Language:Python607137362

• ysig/GraKeL

  A scikit-learn compatible library for graph kernels

  Language:Python603108998

• Shen-Lab/GraphCL

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

  Language:Python5661070104

• diningphil/gnn-comparison

  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

  Language:Python38982054

• Lin-Yijie/Graph-Matching-Networks

  PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).

  Language:Python29431157

• alexfanjn/Graph-Neural-Networks-With-Heterophily

  This repository contains the resources on graph neural network (GNN) considering heterophily.

  2327221

• LechengKong/OneForAll

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

  Language:Python19411623

• jajupmochi/graphkit-learn

  A python package for graph kernels, graph edit distances, and graph pre-image problem.

  Language:Jupyter Notebook1255919

• yandex-research/heterophilous-graphs

  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?

  Language:Python102147

• ahxt/g-mixup

  [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification

  Language:Python93248

• beabevi/ESAN

  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

  Language:Python86527

• jules-leguy/EvoMol

  Evolutionary algorithm for molecular properties optimization

  Language:Python542118

• Data-Centric-GraphML/awesome-papers

  A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).

  44204

• lsh0520/RGCL

  Ratioanle-aware Graph Contrastive Learning codebase

  Language:Python39292

• LUMIA-Group/OrderedGNN

  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).

  Language:Python39215

• liugangcode/GREA

  [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"

  Language:Python36346

• snudatalab/GraphAug

  Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)

  Language:Python20200

• priba/graph_metric.pytorch

  Graph Metric Learning in PyTorch

  Language:Python11111

• Cyrus9721/Characterizing_graph_influence

  Language:Python8110

• sunjss/CoCN

  Official implementation of Compressed Convolution Networks (CoCNs), including the source code for the ICML 2023 paper "All in a Row: Compressed Convolution Networks for Graphs".

  Language:Python811

• Jinx-byebye/LRGNN

  Official implementation of NeurIPS 2023 paper "Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily"

  Language:Python7221

• Godofnothing/HeterophilySpecificModels

  Language:Python6100

• ml-postech/reverse-gnn

  Language:Python6600

• gdmnl/LD2

  The origianl code for "LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings", NeurIPS 2023

  Language:Python5200

• chom5621/AlignDiff

  Language:Python1100