young917 / MiDaS
WWW22 - MiDaS: Representative Hypergraph Sampling
☆12Updated last year
Alternatives and similar repositories for MiDaS
Users that are interested in MiDaS are comparing it to the libraries listed below
Sorting:
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs☆18Updated 10 months ago
- Published as a journal paper at DAMI 2023☆16Updated 3 months ago
- Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."☆14Updated 2 years ago
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)☆36Updated last year
- ☆10Updated 4 years ago
- Published as a conference paper at ICLR 2024☆23Updated last year
- Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24 Short)☆19Updated 4 months ago
- Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)☆21Updated 2 years ago
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Updated last year
- Handbook for Geometric Deep Learning with Intel Gaudi-v2 Devices☆21Updated 2 months ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 3 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆31Updated 2 years ago
- Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆28Updated last month
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆27Updated last month
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆43Updated 5 months ago
- Easy-to-use framework for graph continual learning with Python☆33Updated 7 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆51Updated 2 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
- Code for GBK-GNN (paper accepted by WWW2022)☆16Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- ☆12Updated last year
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆18Updated 2 years ago
- The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignm…☆25Updated 2 years ago
- ☆38Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆22Updated 2 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆37Updated last year
- CIKM2022: source code for "hypergraph learning with line expansion" paper☆20Updated last year