young917 / EdgeDependentNodeLabel
KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
☆16Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for EdgeDependentNodeLabel
- WWW22 - MiDaS: Representative Hypergraph Sampling☆12Updated 6 months ago
- Published as a journal paper at DAMI 2023☆14Updated 11 months ago
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)☆33Updated 7 months ago
- Published as a conference paper at ICLR 2024☆17Updated 8 months ago
- The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignm…☆24Updated 2 years ago
- The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.☆23Updated 9 months ago
- The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.☆38Updated 2 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆50Updated last year
- The official source code for "Relational Self-Supervised Learning on Graphs"☆23Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆49Updated 2 years ago
- Easy-to-use framework for graph continual learning with Python☆33Updated last month
- The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.☆23Updated 11 months ago
- Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)☆20Updated 2 years ago
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.☆11Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆33Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆43Updated 10 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated last year
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆18Updated last year
- Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."☆13Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆35Updated last year
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Updated last year
- The official source code for "S-Mixup: Structural Mixup for Graph Neural Networks", accepted at CIKM 2023 (Short Paper).☆18Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆53Updated last year
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆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
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆32Updated 2 years ago
- The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆27Updated 4 months ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆35Updated last year
- Papers about hypergraph, their applications, and even similar ideas.☆18Updated 2 years ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated 7 months ago