WANGBohaO-jpg / DR-GNN
[WWW2024] The official code for paper "Distributionally Robust Graph-based Recommendation System"
☆26Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for DR-GNN
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆24Updated 2 weeks ago
- A curated list of papers on graph structure learning (GSL).☆39Updated 4 months ago
- TransGNN, SIGIR 2024☆37Updated 4 months ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated 2 years ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆27Updated 5 months ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆47Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆74Updated this week
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆33Updated last year
- ☆50Updated last week
- A Survey of Learning from Graphs with Heterophily☆89Updated last month
- Graph based Knowledge Distillation: A Survey☆59Updated last year
- [ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks☆32Updated last year
- ☆20Updated 8 months ago
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆21Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆99Updated 4 months ago
- ☆15Updated 9 months ago
- ☆11Updated 8 months ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆21Updated 3 months ago
- ☆21Updated last month
- ☆14Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated last year
- Source code and dataset of the paper "Efficient Heterogeneous Graph Learning via Random Projection"☆88Updated 2 months ago
- The official PyTorch implementation of Diff-POI.☆23Updated this week
- A collection of papers on Graph Structural Learning (GSL)☆52Updated 10 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Updated last year
- Papers about out-of-distribution generalization on graphs.☆156Updated last year
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆82Updated last year
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆43Updated 8 months ago