RelBench: Relational Deep Learning Benchmark

Official Implementation of GenRxR (RecSys'26) (Paper: https://arxiv.org/abs/2607.24829)

Multi-agent harness + complete run record of the 1st-place entry at Ralphthon@ICML2026 — three AI agents wrote a workshop paper in 3 hours

[NeurIPS 2025 Datasets and Benchmarks] Source code for the paper RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

Easy-to-use framework for graph continual learning with Python

[ICDM'25] Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms

[ICDM'25] Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity

[NeurIPS 2025 Datasets and Benchmarks] Source code for the paper RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases

Handbook for Geometric Deep Learning with Intel Gaudi-v2 Devices

Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24)

PyTorch implementation of some learning rate schedulers for deep learning researcher.

Easy-to-use framework for graph continual learning with Python

Published as a conference paper at ICLR 2024

[DAMI'23 (ECMLPKDD'23 Journal Track)] Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems