KXDY233's repositories
Aalto-Data-Mining
Algorithmic Methods of Data Mining
amazing-qr
💮 amazing QRCode generator in Python (supporting animated gif) - Python amazing 二维码生成器(支持 gif 动态图片二维码)
culp
This is the implementation of the CULP classification algorithm. The paper introducing this algorithm - `Classification Using Link Prediction`
Curriculum-Labeling
[AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
deep-hyperedges
New Algorithms for Learning on Hypergraphs
EasyLink
Link Prediction models on Networks
EvoNRL
Evolving Network Representation Learning Based on Random Walks
explanations_can_be_manipulated
reference implementation for "explanations can be manipulated and geometry is to blame"
GLASS
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
HID
Repository for " Integrating User Representation Learning and Multiscale Modeling: A Hierarchical Framework for Information Diffusion".
higher-order-graph-convolutional-neural-network
A Tensorflow implementation of a higher order graph convolutional neural network
hyperbolic-learning
Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)
Hypergraph-Vis
Code repository for "Hypergraph Visualization via a Metric Space Viewpoint and Persistence"
k-shortest-path
Implements K shortest path algorithms for networkx
S3GRL
S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.
S3GRL_OGB
S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.
SEAL
SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".
SEAL_OGB
An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
SGC
official implementation for the paper "Simplifying Graph Convolutional Networks"
SHINE
NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork
zorro
Implementation fo Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks