FudanCISL / FreeGEMLinks
The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.
☆16Updated 2 years ago
Alternatives and similar repositories for FreeGEM
Users that are interested in FreeGEM are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Updated 2 years ago
- ☆12Updated last year
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Updated last year
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Updated 3 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆10Updated 2 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Updated 3 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- ☆75Updated 2 years ago
- Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction☆70Updated 2 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆13Updated 2 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆27Updated 3 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- [KDD'24] Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering☆13Updated 10 months ago
- SHT, KDD 2022☆52Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆62Updated 3 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆54Updated 2 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- Streaming Graph Neural Networks via Continual Learning (CIKM 2020)☆43Updated 4 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 3 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- Discovering Invariant Rationales for Graph Neural Networks (ICLR 2022)☆130Updated 2 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆19Updated last year
- Papers about hypergraph, their applications, and even similar ideas.☆19Updated 3 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆48Updated 8 months ago