Sein-Kim / TERACON
☆14Updated last year
Related projects ⓘ
Alternatives and complementary repositories for TERACON
- Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective☆10Updated 6 months ago
- The official source code for "S-Mixup: Structural Mixup for Graph Neural Networks", accepted at CIKM 2023 (Short Paper).☆18Updated last year
- The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.☆23Updated 10 months ago
- The official source code for "Relational Self-Supervised Learning on Graphs"☆23Updated 2 years ago
- The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.☆23Updated 11 months ago
- The official source code for "Single-cell RNA-seq data imputation using Feature Propagation", accepted at 2023 ICML Workshop on Computati…☆11Updated last year
- The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignm…☆24Updated 2 years ago
- The official source code for "Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Model".☆11Updated 3 months ago
- Official repository of Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization [EMNLP'22 …☆9Updated last year
- Official PyTorch implementation Source code for Adaptive Self-Training Framework for Fine-grained Scene Graph generation (ST-SGG), accept…☆18Updated 9 months ago
- [ECCV 2024] Code for the paper "Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network"☆10Updated 3 months ago
- The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.☆38Updated 2 years ago
- Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, acce…☆31Updated 7 months ago
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆20Updated last year
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆15Updated last year
- Hetsgg☆24Updated last year
- ☆12Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated last year
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs☆17Updated 4 months ago
- ☆9Updated 3 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆13Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆27Updated 5 months ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆76Updated 2 years ago
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆27Updated 2 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆26Updated 2 years ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆26Updated last year
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆20Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆35Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆44Updated 10 months ago