binchen4110
2nd year matser student in Uestc
University of Electronic Science and Technology of ChinaChengdu, China
binchen4110's Stars
MrYxJ/calculate-flops.pytorch
The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)
chunyuanY/RumorDetection
agangbe/GACL
stmrdus/tkger
Some papers on Temporal Knowledge Graph Embedding and Reasoning
LARS-research/AdaProp
[KDD 2023] AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning
shuoyinn/LGI-GT
Code of the paper "LGI-GT: Graph Transformers with Local and Global Operators Interleaving"
uma-pi1/kge
LibKGE - A knowledge graph embedding library for reproducible research
hhdo/DaeMon
This is the official code release of the following paper: Hao Dong et al., Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning.
solashirai/WWW-EvCBR
Code associated with the WWW'23 paper "Event Prediction using Case-Based Reasoning over Knowledge Graphs"
HarryShomer/KG-Mixup
Implementation of the WWW'23 paper "Toward Degree Bias in Embedding-Based Knowledge Graph Completion"
ngl567/LCGE
AAAI 2023: Logic and Commonsense-Guided Temporal Knowledge Graph Completion
Tebmer/SNRI
IJCAI 2022 Long Presentation: An inductive KG link prediction utilizing neighboring relations from two aspects and using the MI maximization.
kkteru/grail
Inductive relation prediction by subgraph reasoning, ICML'20
TingFree/NLPer-Arsenal
收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴(当前赛事、往期赛事、训练赛)、NLP会议时间、常用自媒体、GPU推荐等,持续更新中
RManLuo/Awesome-LLM-KG
Awesome papers about unifying LLMs and KGs
varunshenoy/GraphGPT
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
zjs123/Awesome-DynamicGraphLearning
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
RexYing/gnn-model-explainer
gnn explainer
lihanghang/NLP-Knowledge-Graph
自然语言处理、知识图谱、对话系统三大技术研究与应用。
snap-stanford/GIB
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
RingBDStack/VIB-GSL
Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022
interpretml/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
AstraZeneca/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
nimarb/pytorch_influence_functions
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
zjs123/StreamE
Pytorch implementation of StreamE
soledad921/ATISE
The source code of ISWC2020 paper "Temporal Knowledge Graph completion based on time series Gaussian embedding " and COLING2020 paper "TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation "
ant-research/EasyTemporalPointProcess
EasyTPP: Towards Open Benchmarking Temporal Point Processes
uoguelph-mlrg/confidence_estimation
Learning Confidence for Out-of-Distribution Detection in Neural Networks
Impression2805/FMFP
PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
TencentAILabHealthcare/mmdynamics