Pinned Repositories
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
DIGNN
[NeurIPS GLFrontiers 2023] DIGNN, Implicit Graph Neural Diffusion Models
Event2vec
Representation Learning for Heterogeneous Information Networks via Embedding Events
GSDN
The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"
HSRL
Learning Topological Representation for Networks via Hierarchical Sampling
MLT-Papers
Awesome papers in machine learning theory
pGNNs
[ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks
SUSTechNRL
Network Representation Learning
guoji-fu's Repositories
guoji-fu/pGNNs
[ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks
guoji-fu/Event2vec
Representation Learning for Heterogeneous Information Networks via Embedding Events
guoji-fu/GSDN
The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"
guoji-fu/HSRL
Learning Topological Representation for Networks via Hierarchical Sampling
guoji-fu/MLT-Papers
Awesome papers in machine learning theory
guoji-fu/SUSTechNRL
Network Representation Learning
guoji-fu/DIGNN
[NeurIPS GLFrontiers 2023] DIGNN, Implicit Graph Neural Diffusion Models
guoji-fu/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
guoji-fu/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
guoji-fu/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
guoji-fu/Deep-Reasoning-Papers
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
guoji-fu/deeplearning-models
A collection of various deep learning architectures, models, and tips
guoji-fu/ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
guoji-fu/GNN-Papers
Papers that I like on GNNs with interesting theoretical analysis.
guoji-fu/GNNPapers
Must-read papers on graph neural networks (GNN)
guoji-fu/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
guoji-fu/LiteratureDL4Graph
guoji-fu/LocalGraphClustering
guoji-fu/numpy-ml
Machine learning, in numpy
guoji-fu/Paper-I-Like
guoji-fu/Python
All Algorithms implemented in Python
guoji-fu/pytorch_pratices
pytorch practice
guoji-fu/snap
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.