huankoh / How-Far-are-We-from-Robust-Long-Abstractive-Summarization
The official code of EMNLP 2022, "How Far are We from Robust Long Abstractive Summarization?".
☆18Updated last year
Alternatives and similar repositories for How-Far-are-We-from-Robust-Long-Abstractive-Summarization
Users that are interested in How-Far-are-We-from-Robust-Long-Abstractive-Summarization are comparing it to the libraries listed below
Sorting:
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 2 years ago
- A curated list of resources for graph prompting methods☆29Updated last year
- Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"☆19Updated last year
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆56Updated last year
- ☆34Updated last year
- Early release of the official implementation for "UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs"☆11Updated 8 months ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆16Updated last year
- Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"☆15Updated last year
- The official repo of TimeLlama, an instruction-finetuned Llama2 series that improve complex temporal reasoning ability.☆37Updated last year
- Graph Transformers for Large Graphs☆21Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆43Updated last year
- Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023☆29Updated 2 years ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆27Updated 2 years ago
- Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)☆29Updated 3 months ago
- Official Repo of SimTeG☆42Updated last year
- Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport (Findings-ACL 2023)☆13Updated 2 years ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆20Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- Code for the paper "Spectrum Guided Topology Augmentation for Graph Contrastive Learning"☆11Updated last year
- ☆36Updated last year
- Source codes of the paper "Hierarchical Pretraining on Multimodal Electronic Health Records".☆18Updated last year
- ☆61Updated 2 years ago
- [CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation☆14Updated 7 months ago
- ☆127Updated last month
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆44Updated 2 months ago
- ☆15Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks (KDD 2023)☆23Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated 11 months ago