ubc-systopia / CATWalk
CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.
☆12Updated last year
Related projects ⓘ
Alternatives and complementary repositories for CATWalk
- WWW22 - MiDaS: Representative Hypergraph Sampling☆12Updated 6 months ago
- Published as a conference paper at ICLR 2024☆17Updated 8 months ago
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs☆17Updated 4 months ago
- Published as a journal paper at DAMI 2023☆14Updated last year
- ☆12Updated 2 years ago
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆21Updated last year
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)☆33Updated 8 months ago
- ☆21Updated 2 years ago
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Updated last year
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 2 years ago
- The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆28Updated 5 months ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 2 years ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆14Updated last year
- Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."☆13Updated last year
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆29Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆37Updated 3 months ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆13Updated last year
- Graph Transformers for Large Graphs☆20Updated 6 months ago
- Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effe…☆21Updated 4 months ago
- CIKM2022: source code for "hypergraph learning with line expansion" paper☆18Updated last year
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆11Updated 3 months ago
- [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.☆17Updated last year
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆50Updated last year
- ☆10Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆54Updated last year
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆16Updated last year
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆17Updated last year
- ☆17Updated 11 months ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated last year
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆12Updated last year