output
20032026
most citedKnowledge Graph Convolutional Networks for Recommender Systems

1k citations

917 papers

cs.SE2026

XRFix: Exploring Performance Bug Repair of Extended Reality Applications with Large Language Models

Jingwen Wu, Hanyang Guo, Hong-Ning Dai +1

As an emerging technology, Extended Reality provides end-users with an immersive experience of interacting with virtual and physical environments. Unlike traditional software, the…

cond-mat.mtrl-sci2026

Room-temperature ferroelectrically switchable quantum geometry in few-layer WTe2 for complementary in-memory computing

Ruihan Wang, Pengfei Wang, Haoyun Chen +10

Quantum geometry, describing the inherent geometric structure of electron wavefunctions in momentum space, transcends the traditional charge degree of freedom and provides a novel…

cs.CV2026

Perspective-Invariant Attack with Enhanced Transferability of Adversarial Examples

Kaisheng Liang, Yiming Cao, Bin Xiao

Adversarial examples generated on a surrogate deep neural network (DNN) can often successfully fool other black-box DNN models. This cross-model transferability poses serious secur…

cs.SE2026

NotDec: WebAssembly Decompilation With Inter-Procedural Type Recovery

Jikai Wang, Ningyu He, Tianming Liu +2

With WebAssembly widely supported in browsers, containers, IoT devices, and serverless platforms and increasingly adopted as a universal low-level bytecode standard, auditing its h…

cs.DC2026

Collaborative Orbital Edge Intelligence: A Decentralized Paradigm for Energy-Efficient Computing in Space

Yuvraj Sahni, Jiannong Cao, Fu Xiao

In recent years, Low Earth Orbit (LEO) satellites have been increasingly deployed to enable connectivity in remote and disaster-prone areas. Researchers have proposed Orbital Edge…

cs.CR2026

Practical Anonymous Two-Party Gradient Boosting Decision Tree

Chenyu Huang, Fan Zhang, Minxin Du +6

Structured data is well handled by gradient-boosted decision trees (GBDT), which are usually trained on vertically partitioned features across mutually distrustful parties. High sp…