reddy-lab / GraphZooLinks
Facilitating learning, using, and designing graph processing pipelines/models systematically.
☆27Updated 3 years ago
Alternatives and similar repositories for GraphZoo
Users that are interested in GraphZoo are comparing it to the libraries listed below
Sorting:
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Updated 3 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆83Updated 2 years ago
- ☆19Updated 2 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆71Updated 3 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆62Updated 2 years ago
- ☆130Updated 7 months ago
- Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2…☆59Updated 4 years ago
- Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)☆31Updated 9 months ago
- Official Repo of SimTeG☆43Updated last year
- UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs (KDD'25)☆22Updated 5 months ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆76Updated 3 years ago
- ☆35Updated 2 years ago
- Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023☆33Updated 2 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 3 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 years ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Updated 2 years ago
- Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Maskin…☆46Updated 4 years ago
- Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning☆21Updated 2 years ago
- ☆102Updated 2 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 3 years ago
- source code of KDD 2021 paper "Pre-training on Large-Scale Heterogeneous Graph".☆23Updated 4 years ago
- graph neural networks, information theory, AI for Sciences☆23Updated 3 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- ☆23Updated 4 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago
- ☆19Updated 5 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆76Updated 3 years ago
- ☆127Updated 2 years ago