frankuc's repositories
algebird
Abstract Algebra for Scala
AutoAudit
Code for paper "AutoAudit: Mining Accounting and Time-Evolving Graphs" (Big Data 2020)
Awesome-GNN4TS
Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
benchmarking-gnns
Repository for benchmarking graph neural networks
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
datasketch
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble
findopendata
A search engine for Open Data
Galois
Galois: C++ library for multi-core and multi-node parallelization
GAWD
Code for paper "GAWD: Graph Anomaly Detection in Directed Weighted Graph Databases" (ASONAM 2021)
gbbs
GBBS: Graph Based Benchmark Suite
gen2Out
Code for paper "gen2Out: Detection and Ranking Generalized Anomalies" (Big Data 2021)
GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
graph-data-augmentation-papers
A curated list of graph data augmentation papers.
graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
GraphOOD-GNNSafe
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
InfoShield
Code for paper "InfoShield: Generalizable Information-Theoretic Human-Trafficking Detection" (ICDE 2021)
NeuKron
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors (WWW 23)
paper-reading
深度学习经典、新论文逐段精读
PGM-
[WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
pretrain-gnns
Strategies for Pre-training Graph Neural Networks
rabinfingerprint
Rabin Fingerprint Based on themadcreator/rabinfingerprint
SDM2023_Graph_Data_Augmentation_Tutorial
Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning
SlimG
Code for paper "Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining" (KDD 2023)
tgrapp
Anomaly Detection and Visualization of Large-Scale Call Graphs
treeminhash
TreeMinHash: Fast Sketching for Weighted Jaccard Similarity Estimation