HyeonsooJo / MetaGCLinks
Robust Graph Clustering via Meta Weighting for Noisy Graphs (CIKM'23)
☆8Updated last year
Alternatives and similar repositories for MetaGC
Users that are interested in MetaGC are comparing it to the libraries listed below
Sorting:
- WWW22 - MiDaS: Representative Hypergraph Sampling☆12Updated last year
- Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆29Updated 2 months ago
- Published as a conference paper at ICLR 2024☆24Updated last year
- Published as a journal paper at DAMI 2023☆16Updated 4 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)☆37Updated last year
- Graph Transformers for Large Graphs☆21Updated last year
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs☆18Updated 11 months 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 implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper☆13Updated 3 years ago
- Easy-to-use framework for graph continual learning with Python☆36Updated 8 months ago
- ☆10Updated 4 years ago
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.☆14Updated last year
- Source code for the paper RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases☆12Updated 2 weeks ago
- [SIGIR'25 Short] Official Repository of "KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking"☆20Updated 2 weeks ago
- Official code for "Towards Better Utilzation of Multiple Views for Bundle Recommendation" (CIKM 24 Short)☆20Updated 6 months ago
- ☆15Updated 2 years ago
- Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.☆11Updated 11 months ago
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆27Updated 2 months ago
- ☆18Updated last year
- Handbook for Geometric Deep Learning with Intel Gaudi-v2 Devices☆21Updated 3 months ago
- ☆13Updated 4 years ago
- "Graph Convolutions Enrich the Self-Attention in Transformers!" NeurIPS 2024☆22Updated 3 months ago
- ☆11Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)☆21Updated 2 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated 2 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆10Updated 2 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆45Updated 7 months ago