chlehdwon / RDB2G-BenchLinks
Source code for the paper RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases
☆17Updated 2 months ago
Alternatives and similar repositories for RDB2G-Bench
Users that are interested in RDB2G-Bench are comparing it to the libraries listed below
Sorting:
- Handbook for Geometric Deep Learning with Intel Gaudi-v2 Devices☆20Updated 6 months ago
- Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24 Short)☆21Updated 9 months ago
- Easy-to-use framework for graph continual learning with Python☆37Updated 11 months ago
- ☆10Updated 4 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year
- ☆22Updated 2 years ago
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs☆18Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Updated 3 years ago
- ☆48Updated last year
- Published as a journal paper at DAMI 2023☆16Updated 7 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- ☆15Updated 7 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆78Updated 4 months ago
- A large-scale node-classification graph benchmark that brings together both the heterophily and heterogeneity properties of real-world gr…☆33Updated last month
- ☆57Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆85Updated 10 months ago
- Dynamic Graph Benchmark☆82Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆49Updated 10 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆37Updated 10 months ago
- Implementation of ICML'24 Paper "Graph Distillation with Eigenbasis Matching"☆16Updated last year
- ☆136Updated 2 years ago
- Pytorch implementation of "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes"☆18Updated 3 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆165Updated this week
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Updated 3 years ago
- Source code for KAIS (2023) paper "Temporal Hypergraph Motifs" and ICDM 2021 paper "THyMe+: Temporal Hypergraph Motifs and Fast Algorithm…☆12Updated 2 years ago
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆46Updated last year
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆19Updated last year
- ☆27Updated 3 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated last year