geon0325 / THyMe
Source code for KAIS (2023) paper "Temporal Hypergraph Motifs" and ICDM 2021 paper "THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting."
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for THyMe
- Source code for VLDB 2020 paper "Hypergraph Motifs: Concepts, Algorithms, and Discoveries."☆15Updated 5 months ago
- Published as a journal paper at DAMI 2023☆14Updated last year
- WWW22 - MiDaS: Representative Hypergraph Sampling☆12Updated 6 months ago
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs☆17Updated 4 months ago
- Published as a conference paper at ICLR 2024☆17Updated 8 months ago
- WWW21 - How Do Hyperedges Overlap☆16Updated 9 months ago
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)☆33Updated 8 months ago
- Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."☆13Updated last year
- The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆28Updated 5 months ago
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.☆12Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆36Updated last year
- Graph Neural Convection-Diffusion with Heterophily☆11Updated last year
- ☆17Updated 11 months ago
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆11Updated 3 months ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated last year
- ☆21Updated 2 years ago
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆18Updated this week
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆50Updated last year
- Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)☆20Updated 2 years ago
- ☆28Updated last week
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆28Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆36Updated 2 months ago
- Implementation of Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning (AAAI-23)☆16Updated last year
- ☆37Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆61Updated 6 months ago
- Easy-to-use framework for graph continual learning with Python☆33Updated last month
- Pytorch implementation of EvenNet.☆19Updated 2 years ago
- ☆38Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆54Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆99Updated last year