iLampard / lampView external linksLinks
PyTorch implementation of the paper "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning", NeurIPS 2023
☆62Dec 20, 2023Updated 2 years ago
Alternatives and similar repositories for lamp
Users that are interested in lamp are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023☆14Dec 9, 2023Updated 2 years ago
- EasyTPP: Towards Open Benchmarking Temporal Point Processes☆332Dec 2, 2025Updated 2 months ago
- Code and Data for "SCTc-TE: A Comprehensive Formulation and Benchmark for Temporal Event Forecasting""☆15Feb 2, 2024Updated 2 years ago
- Variational Autoencoders for Marked Point Processes☆15Jun 11, 2020Updated 5 years ago
- This is the offcial code of "HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning"☆18Jun 8, 2024Updated last year
- Some papers on Knowledge Graph Embedding(KGE)☆13Aug 16, 2022Updated 3 years ago
- Official PyTorch implementation of The Linear Attention Resurrection in Vision Transformer☆15Sep 7, 2024Updated last year
- The official repo of TimeLlama, an instruction-finetuned Llama2 series that improve complex temporal reasoning ability.☆43Nov 13, 2023Updated 2 years ago
- Implementation of "Neural Jump-Diffusion Temporal Point Processes" (ICML 2024 Spotlight)☆16Jul 18, 2025Updated 6 months ago
- ☆15Aug 5, 2025Updated 6 months ago
- This is the official code release of the following paper: Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu , Yong Zhu, Long…☆30Mar 20, 2023Updated 2 years ago
- Official code for paper "Integrating Deep Event-Level and Script-Level Information for Script Event Prediction".☆17Jun 29, 2022Updated 3 years ago
- PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification☆16Jun 7, 2024Updated last year
- ☆15Jul 14, 2022Updated 3 years ago
- Code associated with the WWW'23 paper "Event Prediction using Case-Based Reasoning over Knowledge Graphs"☆18Nov 8, 2023Updated 2 years ago
- ☆18Aug 13, 2024Updated last year
- The code of LogCL☆23Mar 5, 2025Updated 11 months ago
- Code for Transformer Hawkes Process, ICML 2020.☆204Apr 4, 2024Updated last year
- Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue (ACL Findings 2023)☆21Nov 10, 2025Updated 3 months ago
- Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)☆23Dec 1, 2023Updated 2 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆62Dec 28, 2024Updated last year
- Knowledge Graph Model Hub, A repository that integrates commonly used static knowledge graphs and temporal knowledge graphs method.☆67Aug 13, 2025Updated 6 months ago
- DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification☆29May 27, 2021Updated 4 years ago
- CLDG: Contrastive Learning on Dynamic Graphs (ICDE'23) | Learning dynamic graph representations through timespan view contrasts (NN'24)☆27Dec 18, 2024Updated last year
- code for "Neural Jump Ordinary Differential Equations"☆30Feb 16, 2023Updated 2 years ago
- Source code for Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification (ICML 2020).☆36Jul 25, 2024Updated last year
- ☆37Feb 6, 2024Updated 2 years ago
- ☆30Oct 26, 2020Updated 5 years ago
- ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence (NAACL 2022)☆44Nov 18, 2025Updated 2 months ago
- A diffusion-based framework for spatio-temporal point processes☆76Mar 25, 2024Updated last year
- A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.☆1,196Dec 22, 2024Updated last year
- Implementation of the DeepHit model for survival analysis with competing risks using PyTorch☆14Sep 20, 2024Updated last year
- Foundation Model for Probabilistic Electricity Price Forecasting☆17Sep 29, 2025Updated 4 months ago
- Linear Attention for Efficient Bidirectional Sequence Modeling☆15May 13, 2025Updated 9 months ago
- Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""☆10Mar 20, 2021Updated 4 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆88Feb 1, 2021Updated 5 years ago
- An ICP/Cycles Market☆10Jan 27, 2022Updated 4 years ago
- ☆13Sep 21, 2024Updated last year
- ☆16Oct 9, 2024Updated last year