Summary of Promoting Fairness in Link Prediction with Graph Enhancement, by Yezi Liu et al.
Promoting Fairness in Link Prediction with Graph Enhancementby Yezi Liu, Hanning Chen, Mohsen ImaniFirst submitted…
Summary of Cpl: Critical Plan Step Learning Boosts Llm Generalization in Reasoning Tasks, by Tianlong Wang et al.
CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasksby Tianlong Wang, Junzhe Chen,…
Summary of Online Learning Of Expanding Graphs, by Samuel Rey et al.
Online Learning Of Expanding Graphsby Samuel Rey, Bishwadeep Das, Elvin IsufiFirst submitted to arxiv on:…
Summary of Graph Laplacian-based Bayesian Multi-fidelity Modeling, by Orazio Pinti and Jeremy M. Budd and Franca Hoffmann and Assad A. Oberai
Graph Laplacian-based Bayesian Multi-fidelity Modelingby Orazio Pinti, Jeremy M. Budd, Franca Hoffmann, Assad A. OberaiFirst…
Summary of Cliqueph: Higher-order Information For Graph Neural Networks Through Persistent Homology on Clique Graphs, by Davide Buffelli et al.
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphsby Davide Buffelli,…
Summary of Multi-model Based Federated Learning Against Model Poisoning Attack: a Deep Learning Based Model Selection For Mec Systems, by Somayeh Kianpisheh et al.
Multi-Model based Federated Learning Against Model Poisoning Attack: A Deep Learning Based Model Selection for…
Summary of Style-based Clustering Of Visual Artworks and the Play Of Neural Style-representations, by Abhishek Dangeti et al.
Style-based Clustering of Visual Artworks and the Play of Neural Style-Representationsby Abhishek Dangeti, Pavan Gajula,…
Summary of Dreambeast: Distilling 3d Fantastical Animals with Part-aware Knowledge Transfer, by Runjia Li et al.
DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transferby Runjia Li, Junlin Han, Luke Melas-Kyriazi,…
Summary of Lorid: Low-rank Iterative Diffusion For Adversarial Purification, by Geigh Zollicoffer et al.
LoRID: Low-Rank Iterative Diffusion for Adversarial Purificationby Geigh Zollicoffer, Minh Vu, Ben Nebgen, Juan Castorena,…
Summary of Activation Function Optimization Method: Learnable Series Linear Units (lslus), by Chuan Feng et al.
Activation function optimization method: Learnable series linear units (LSLUs)by Chuan Feng, Xi Lin, Shiping Zhu,…