Pinned Repositories
awesome-few-shot-gnn
An index of algorithms for few-shot learning on graphs
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Awesome-Incremental-Learning
Awesome Incremental Learning
awesome-papers-fewshot
Collection for Few-shot Learning
CBM_NLP
Pytorch Implementation of PAKDD 2024 [Oral] -- Interpreting Pretrained Language Models via Concept Bottlenecks
GFCIL
Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning
LLM4Annotation
RSPapers
A Curated List of Must-read Papers on Recommender System.
SparseCBM
Pytorch Implementation of AAAI 2024 -- Sparsity-guided Holistic Explanation for LLMs with Interpretable Inference-time Intervention
TLP-FSNC
Pytorch Implementation of LoG 22 [Oral] -- Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
Zhen-Tan-dmml's Repositories
Zhen-Tan-dmml/LLM4Annotation
Zhen-Tan-dmml/GFCIL
Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning
Zhen-Tan-dmml/TLP-FSNC
Pytorch Implementation of LoG 22 [Oral] -- Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification
Zhen-Tan-dmml/SparseCBM
Pytorch Implementation of AAAI 2024 -- Sparsity-guided Holistic Explanation for LLMs with Interpretable Inference-time Intervention
Zhen-Tan-dmml/CBM_NLP
Pytorch Implementation of PAKDD 2024 [Oral] -- Interpreting Pretrained Language Models via Concept Bottlenecks
Zhen-Tan-dmml/RSPapers
A Curated List of Must-read Papers on Recommender System.
Zhen-Tan-dmml/awesome-few-shot-gnn
An index of algorithms for few-shot learning on graphs
Zhen-Tan-dmml/Awesome-Incremental-Learning
Awesome Incremental Learning
Zhen-Tan-dmml/awesome-papers-fewshot
Collection for Few-shot Learning
Zhen-Tan-dmml/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Zhen-Tan-dmml/CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Zhen-Tan-dmml/Contrastive-Learning-Papers-Codes
A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.
Zhen-Tan-dmml/CSE-472-Project-2
Zhen-Tan-dmml/Deep-Reinforcement-Learning-for-Recommender-Systems
DRL for RecSys papers
Zhen-Tan-dmml/GNN4NLP-Papers
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Zhen-Tan-dmml/GNNPapers
Must-read papers on graph neural networks (GNN)
Zhen-Tan-dmml/GPN
Implementation of CIKM2020 -- Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Zhen-Tan-dmml/Graph-based-Outlier-Detection
Zhen-Tan-dmml/GTBench
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
Zhen-Tan-dmml/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Zhen-Tan-dmml/KGE
Awesome Knowledge Graph Embedding (KGE)
Zhen-Tan-dmml/kge-1
LibKGE - A knowledge graph embedding library for reproducible research
Zhen-Tan-dmml/kge-iclr20
Zhen-Tan-dmml/lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
Zhen-Tan-dmml/Meta-Learning-Papers
A classified list of meta learning papers based on realm.
Zhen-Tan-dmml/SACN
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Zhen-Tan-dmml/spotlight
Deep recommender models using PyTorch.
Zhen-Tan-dmml/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Zhen-Tan-dmml/The-Wolf-Within
Zhen-Tan-dmml/Zhen-Tan-dmml.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes