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Starred repositories
SJTUTables: A Benchmark for Relational Table Learning
6
Updated Mar 4, 2025
This is a simple version to reproduce the LPSI results in Figure 1 in the original paper.
Pytorch Library for Relational Table Learning with LLMs.
A largely incomplete but hopefully useful list of links to datasets for relational learning and inductive logic programming. No guarantees on availability.
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Source code for the ICDCS 2022 paper "Dissecting the Performance of Chained-BFT"
A simple implementation of HotStuff consensus protocol
Calculate the Gini coefficient of a numpy array.
Database Architecture based on Blockchain Technology
The existing blockchain-related academic papers. All papers are sorted according to the conference and published year. Welcome developers or researchers to add more published papers to this list.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Source code and dataset for KDD 2021 paper: Zero-shot Node Classification with Decomposed Graph Prototype Network.
links to conference publications in graph-based deep learning
Paper list about adopting machine learning techniques into data management tasks.
Faster graph embeddings via coarsening (ICML 2020)
Representation learning for link prediction within social networks
This is the source code of "Network Embedding with Completely-Imbalanced Labels". TKDE2020
This is the python light version of RSNDE. RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding. AAAI18
Implementation of autoencoders in PyTorch
RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding. AAAI18