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Bibliographic Details
Main Authors:	Xu, Ruihan, Zhang, Haokui, Wang, Yaowei, Zeng, Wei, Zhang, Shiliang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2507.00880
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ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling
by: Zhang, Yuanyun, et al.
Published: (2025)

BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series
by: Du, Guikang, et al.
Published: (2026)

Looping Back to Move Forward: Recursive Transformers for Efficient and Flexible Large Multimodal Models
by: Xu, Ruihan, et al.
Published: (2026)

FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
by: Hwang, Dongyeong, et al.
Published: (2024)

kNN-Graph: An adaptive graph model for $k$-nearest neighbors
by: Li, Jiaye, et al.
Published: (2026)

From Complex Dynamics to DynFormer: Rethinking Transformers for PDEs
by: Lai, Pengyu, et al.
Published: (2026)

Graph Neural Architecture Search with GPT-4
by: Wang, Haishuai, et al.
Published: (2023)

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
by: Yang, Ling, et al.
Published: (2023)

Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
by: Zhang, Zeyang, et al.
Published: (2024)

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
by: Guo, Jingwei, et al.
Published: (2024)

Causal-aware Graph Neural Architecture Search under Distribution Shifts
by: Li, Peiwen, et al.
Published: (2024)

RingFormer: Rethinking Recurrent Transformer with Adaptive Level Signals
by: Heo, Jaemu, et al.
Published: (2025)

Graph Neural Networks for Learning Equivariant Representations of Neural Networks
by: Kofinas, Miltiadis, et al.
Published: (2024)

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
by: Miao, Rui, et al.
Published: (2024)

Causally Fair Node Classification on Non-IID Graph Data
by: Dai, Yucong, et al.
Published: (2025)

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning
by: E, Jiawei, et al.
Published: (2024)

GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
by: Zeng, Fanlong, et al.
Published: (2025)

Not All Attention Heads Are What You Need: Refining CLIP's Image Representation with Attention Ablation
by: Lin, Feng, et al.
Published: (2025)

Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
by: Su, Guangxin, et al.
Published: (2024)

Context-Former: Stitching via Latent Conditioned Sequence Modeling
by: Zhang, Ziqi, et al.
Published: (2024)

Rethinking Efficient Graph Coarsening via a Non-Selfishness Principle
by: Bai, Xu, et al.
Published: (2026)

VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention
by: Zhou, Jingbo, et al.
Published: (2026)

RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction
by: Ding, Zhihao, et al.
Published: (2024)

Structural Invariance Matters: Rethinking Graph Rewiring through Graph Metrics
by: Benoit, Alexandre, et al.
Published: (2025)

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model
by: Yang, Haotong, et al.
Published: (2024)

DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection
by: Chen, Qingfeng, et al.
Published: (2025)

Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search
by: Liu, Zhen, et al.
Published: (2026)

Rethinking Propagation for Unsupervised Graph Domain Adaptation
by: Liu, Meihan, et al.
Published: (2024)

Ultra-short-term solar power forecasting by deep learning and data reconstruction
by: Wang, Jinbao, et al.
Published: (2025)

CrashFormer: A Multimodal Architecture to Predict the Risk of Crash
by: Monsefi, Amin Karimi, et al.
Published: (2024)

Sparse Decomposition of Graph Neural Networks
by: Hu, Yaochen, et al.
Published: (2024)

Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning
by: Hu, Yaowei, et al.
Published: (2024)

Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning
by: Jian, Xiangru, et al.
Published: (2024)

Rethinking Fair Graph Neural Networks from Re-balancing
by: Li, Zhixun, et al.
Published: (2024)

Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning
by: Li, Kaiyang, et al.
Published: (2026)

Rethinking Link Prediction for Directed Graphs
by: He, Mingguo, et al.
Published: (2025)

Neural Probabilistic Logic Learning for Knowledge Graph Reasoning
by: Sun, Fengsong, et al.
Published: (2024)

Unified Sparse-Matrix Representations for Diverse Neural Architectures
by: Zhu, Yuzhou
Published: (2025)

Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning
by: Li, Jiahan, et al.
Published: (2022)

if (filemtime($filename) + $maxlifetime < time()) { unlink($filename); $count++; } } return $count; } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ protected function saveSession($sessId, $data): bool { $sessFile = $this->path . '/sess_' . $sessId; if ($handle = fopen($sessFile, 'w')) { $return = false; // Lock the file for exclusive access to avoid issues with multiple // processes writing session simultaneously: if (flock($handle, LOCK_EX)) { $return = fwrite($handle, $data); // Make sure that there's no trailing data by truncating the file to // the correct length: ftruncate($handle, strlen($data)); fflush($handle); flock($handle, LOCK_UN); } fclose($handle); if ($return !== false) { return true; } } // If we got this far, something went wrong with the file output... // It is tempting to throw an exception here, but this code is called // outside of the context of exception handling, so all we can do is // echo a message.

// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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