Summary of Self-explainable Graph Transformer For Link Sign Prediction, by Lu Li et al.
Self-Explainable Graph Transformer for Link Sign Predictionby Lu Li, Jiale Liu, Xingyu Ji, Maojun Wang,…
Summary of Enhanced Structured State Space Models Via Grouped Fir Filtering and Attention Sink Mechanisms, by Tian Meng et al.
Enhanced Structured State Space Models via Grouped FIR Filtering and Attention Sink Mechanismsby Tian Meng,…
Summary of What Are Good Positional Encodings For Directed Graphs?, by Yinan Huang et al.
What Are Good Positional Encodings for Directed Graphs?by Yinan Huang, Haoyu Wang, Pan LiFirst submitted…
Summary of Advanced Deep-reinforcement-learning Methods For Flow Control: Group-invariant and Positional-encoding Networks Improve Learning Speed and Quality, by Joongoo Jeon et al.
Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and qualityby…
Summary of Dynamic Graph Transformer with Correlated Spatial-temporal Positional Encoding, by Zhe Wang et al.
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encodingby Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen…
Summary of Relaxing Graph Transformers For Adversarial Attacks, by Philipp Foth et al.
Relaxing Graph Transformers for Adversarial Attacksby Philipp Foth, Lukas Gosch, Simon Geisler, Leo Schwinn, Stephan…
Summary of Learning High-frequency Functions Made Easy with Sinusoidal Positional Encoding, by Chuanhao Sun et al.
Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encodingby Chuanhao Sun, Zhihang Yuan, Kai Xu,…
Summary of A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Dataset, by Gyeong Taek Lee and Oh-ran Kwon
A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Datasetby Gyeong…
Summary of Multi-state-action Tokenisation in Decision Transformers For Multi-discrete Action Spaces, by Perusha Moodley et al.
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spacesby Perusha Moodley, Pramod Kaushik, Dhillu Thambi,…
Summary of Learning Positional Encodings in Transformers Depends on Initialization, by Takuya Ito et al.
Learning positional encodings in transformers depends on initializationby Takuya Ito, Luca Cocchi, Tim Klinger, Parikshit…