EQTPartners / GenCeption
GenCeption is an annotation-free MLLM (Multimodal Large Language Model) evaluation framework that merely requires unimodal data to assess inter-modality semantic coherence and inversely reflects the models' inclination to hallucinate.
☆12Updated 8 months ago
Alternatives and similar repositories for GenCeption:
Users that are interested in GenCeption are comparing it to the libraries listed below
- 📈 SiRE (Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data), accepte…☆36Updated 8 months ago
- TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative d…☆33Updated 6 months ago
- Paper collection for graph based models in finance application☆102Updated 3 years ago
- A Large-Scale Company Relation Graph for Investment Industry☆131Updated 8 months ago
- Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction☆73Updated 10 months ago
- PyTorch implementation of ESG☆77Updated 2 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆83Updated 7 months ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆172Updated 3 years ago
- A stock prediction based on correlation adjencency matrix grapha and combinantion of gnn and lstm☆35Updated last year
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆78Updated 2 years ago
- This repository collects public benchmark datasets for Time Series Forecasting (TSF).☆18Updated 2 years ago
- Financial time series forecasting with multi-modality graph neural network☆41Updated last year
- [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)☆713Updated 6 months ago
- [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"☆47Updated 8 months ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆39Updated 3 years ago
- Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.☆178Updated last year
- The official implementation of SDGL☆31Updated 6 months ago
- Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.☆347Updated last year
- INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging☆15Updated last year
- Temporal Fusion Transformers for Tensorflow 2.x☆164Updated last year
- ☆51Updated 3 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆63Updated 4 months ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆198Updated last year
- ☆55Updated last year
- ☆99Updated last year
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆50Updated 2 years ago
- Awesome Time-Series and Spatio-Temporal Related☆93Updated last year
- Dynamic frequency domain graph convolution for traffic prediction☆13Updated 6 months ago
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆87Updated 2 years ago
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆132Updated last year