junkangwu / ADNCELinks
[NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
☆41Updated 2 years ago
Alternatives and similar repositories for ADNCE
Users that are interested in ADNCE are comparing it to the libraries listed below
Sorting:
- [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction☆26Updated 3 years ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆65Updated 2 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Updated 2 years ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆38Updated 3 years ago
- [ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks☆36Updated 2 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29Updated 8 months ago
- The source code for BatchSampler that accepted in KDD'23☆19Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Updated last year
- An official PyTorch implementation of "Certifiably Robust Graph Contrastive Learning" (NeurIPS 2023)☆11Updated 2 years ago
- [NeurIPS 2024] GITA: Graph to Image-Text Integration for Vision-Language Graph Reasoning☆53Updated 2 months ago
- Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"☆26Updated last year
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆29Updated 3 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆97Updated 2 years ago
- Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem☆20Updated 4 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Updated 3 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated 2 years ago
- [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"☆46Updated 3 years ago
- ☆12Updated 3 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆90Updated last year
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆12Updated 3 years ago
- Accepted Journal/Conference Paper Lists☆148Updated 3 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Updated 2 years ago
- ☆41Updated 5 months ago
- ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference☆107Updated 3 years ago
- ☆23Updated 2 years ago
- ☆14Updated 11 months ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated 2 years ago
- ☆11Updated 5 years ago
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆20Updated last year