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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

deep-reasoning-papers

Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning

deeplearning-models

A collection of various deep learning architectures, models, and tips

dignn

[NeurIPS GLFrontiers 2023] DIGNN, Implicit Graph Neural Diffusion Models

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

event2vec

Representation Learning for Heterogeneous Information Networks via Embedding Events

gnn-papers

Papers that I like on GNNs with interesting theoretical analysis.

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

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

literaturedl4graph

localgraphclustering

mlt-papers

Awesome papers in machine learning theory

numpy-ml

Machine learning, in numpy

paper-i-like

pgnns

[ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks

python

All Algorithms implemented in Python

pytorch_pratices

pytorch practice

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

sustechnrl

Network Representation Learning