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CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Unified-Modal Speech-Text Pre-Training for Spoken Language Processing
Inductive relation prediction by subgraph reasoning, ICML'20
The code of paper Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs. Jiajun Chen, Huarui He, Feng Wu, Jie Wang. AAAI 2021.
Topological Data Analysis (TDA) for Natural Language Processing (NLP) Applications
The code of paper "Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction" in NeurIPS 2023.
A topological machine learning framework based on PyTorch
Code of the Knowledge Persistence (KP) method proposed in WWW'23 paper
LibKGE - A knowledge graph embedding library for reproducible research
Official code of "Do Topological Characteristics Help in Knowledge Distillation?"
List of ML conferences with important dates and accepted paper list
graph representation learning model that incorporates topological information
This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & V…
Several knowledge graph representation algorithms implemented with pytorch
SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".