Pinned Repositories
InfDis
Influence without Authority: Maximizing Information Coverage in Hypergraphs
OnSeML
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression
SSF
Code for "Interpretable Subgraph Feature Extraction for Hyperlink Prediction".
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
EEG-data-and-descriptions
KXDY233's Repositories
KXDY233/SSF
Code for "Interpretable Subgraph Feature Extraction for Hyperlink Prediction".
KXDY233/SHINE
NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork
KXDY233/S3GRL_OGB
S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.
KXDY233/S3GRL
S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.
KXDY233/SEAL_OGB
An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
KXDY233/InfDis
Influence without Authority: Maximizing Information Coverage in Hypergraphs
KXDY233/OnSeML
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression
KXDY233/EasyLink
Link Prediction models on Networks
KXDY233/GLASS
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
KXDY233/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".
KXDY233/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）
KXDY233/deep-hyperedges
New Algorithms for Learning on Hypergraphs
KXDY233/EEG-data-and-descriptions
KXDY233/HypergraphFlowClustering
KXDY233/higher-order-graph-convolutional-neural-network
A Tensorflow implementation of a higher order graph convolutional neural network
KXDY233/zorro
Implementation fo Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks
KXDY233/SGC
official implementation for the paper "Simplifying Graph Convolutional Networks"
KXDY233/k-shortest-path
Implements K shortest path algorithms for networkx
KXDY233/Hypergraph-Vis
Code repository for "Hypergraph Visualization via a Metric Space Viewpoint and Persistence"
KXDY233/Curriculum-Labeling
[AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
KXDY233/explanations_can_be_manipulated
reference implementation for "explanations can be manipulated and geometry is to blame"
KXDY233/culp
This is the implementation of the CULP classification algorithm. The paper introducing this algorithm - `Classification Using Link Prediction`
KXDY233/HID
Repository for " Integrating User Representation Learning and Multiscale Modeling: A Hierarchical Framework for Information Diffusion".
KXDY233/hyperbolic-learning
Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)
KXDY233/hodgenet
KXDY233/EvoNRL
Evolving Network Representation Learning Based on Random Walks
KXDY233/Aalto-Data-Mining
Algorithmic Methods of Data Mining