jumxglhf / ParetoGNNView external linksLinks
Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization
☆39Jan 30, 2023Updated 3 years ago
Alternatives and similar repositories for ParetoGNN
Users that are interested in ParetoGNN are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆26Jan 13, 2023Updated 3 years ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆18Oct 1, 2023Updated 2 years ago
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆24Oct 4, 2023Updated 2 years ago
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆21Aug 23, 2023Updated 2 years ago
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆19Jan 27, 2024Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆65Jun 23, 2023Updated 2 years ago
- ☆11May 14, 2023Updated 2 years ago
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆10Mar 12, 2024Updated last year
- Official repository for EMNLP'22 paper: Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering☆24Oct 20, 2022Updated 3 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Apr 5, 2023Updated 2 years ago
- [WWW'24] Masked Graph Autoencoder with Non-discrete Bandwidths☆13Jun 23, 2024Updated last year
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆30Nov 26, 2022Updated 3 years ago
- Official github repository for the paper "Unsupervised pre-training of graph transformers on patient population graphs"☆12Jul 17, 2023Updated 2 years ago
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆16Jan 6, 2025Updated last year
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆121Aug 28, 2023Updated 2 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Jun 28, 2023Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Nov 23, 2022Updated 3 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Nov 24, 2022Updated 3 years ago
- A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders☆14May 2, 2020Updated 5 years ago
- A curated list of papers on graph transfer learning (GTL).☆18Oct 23, 2023Updated 2 years ago
- A curated list of graph data augmentation papers.☆313Apr 17, 2024Updated last year
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆64Mar 8, 2023Updated 2 years ago
- The official codes of Rethinking Knowledge Graph Evaluation Under the Open-World Assumption (NeurIPS 2022)☆22Sep 20, 2022Updated 3 years ago
- ☆19Feb 28, 2023Updated 2 years ago
- some examples for drawing illustration plots for paper using seaborn package☆15Sep 22, 2019Updated 6 years ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Nov 6, 2023Updated 2 years ago
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆20Apr 24, 2023Updated 2 years ago
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- Code for EMNLP 2022 paper "A Unified Encoder-Decoder Framework with Entity Memory"☆15Apr 24, 2023Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,711Feb 2, 2024Updated 2 years ago
- Code for ICML 2023 paper "Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs"☆22Sep 24, 2025Updated 4 months ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Feb 27, 2023Updated 2 years ago
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆15Feb 23, 2022Updated 3 years ago
- Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]☆23Jan 10, 2025Updated last year
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Jul 25, 2022Updated 3 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Sep 9, 2024Updated last year
- ☆19Dec 9, 2023Updated 2 years ago
- Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfe…☆18Jan 27, 2024Updated 2 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago