WxTu / Awesome-Partial-Graph-Machine-Learning
☆76Updated this week
Related projects: ⓘ
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆36Updated 11 months ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆51Updated 4 months ago
- Awesome literature on imbalanced learning on graphs☆59Updated last week
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated last year
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆46Updated last year
- A Survey of Learning from Graphs with Heterophily☆69Updated last month
- Neighbor Contrastive Learning on Learnable Graph Augmentation☆30Updated 2 months ago
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆23Updated 4 months ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆48Updated 9 months ago
- ☆41Updated last year
- Graph based Knowledge Distillation: A Survey☆58Updated last year
- ☆51Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆47Updated last year
- ☆36Updated 3 years ago
- ☆46Updated 2 years ago
- LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆16Updated 9 months ago
- A collection of papers on Graph Structural Learning (GSL)☆44Updated 8 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆42Updated last year
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆24Updated 6 months ago
- Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection", ICASSP 2024.☆25Updated 5 months ago
- ☆14Updated 7 months ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆129Updated last year
- ☆45Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- Papers about out-of-distribution generalization on graphs.☆149Updated last year
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆76Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆41Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆63Updated 3 months ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆73Updated 9 months ago
- A curated list of papers on graph structure learning (GSL).☆28Updated 2 months ago